Computational Assignment 3
setwd('/Users/robin/Desktop/CompAssign3')
mydata <- read.csv(file="NutritionStudy.csv",head=TRUE,sep=",")mydata$VitaminUseNum[mydata$VitaminUse == "Regular"] <- 1
mydata$VitaminUseNum[mydata$VitaminUse == "Occasional"] <- 2
mydata$VitaminUseNum[mydata$VitaminUse == "No"] <- 3
mydata$VitaminUseNum## [1] 1 1 2 3 1 3 2 1 3 3 1 2 3 1 3 3 1 1 3 3 3 3 3 2 1 1 2 1 3 3 3 2 3 3 2 1 2
## [38] 3 1 1 3 3 2 2 2 1 1 3 1 3 3 1 2 3 1 1 2 1 2 2 1 3 1 1 1 3 3 2 3 3 2 2 1 3
## [75] 1 3 1 3 2 1 3 1 1 1 1 1 3 3 3 1 1 3 1 1 1 2 1 1 3 3 1 2 3 2 2 3 2 2 3 2 1
## [112] 1 3 2 3 3 2 1 1 1 1 1 1 3 2 3 2 3 1 2 3 1 3 3 1 1 2 1 1 3 3 3 1 3 3 3 3 3
## [149] 1 3 2 1 2 2 2 3 1 1 1 3 1 2 1 1 1 1 2 1 3 3 3 2 1 3 3 1 3 1 1 3 2 1 2 3 1
## [186] 2 1 1 2 2 2 3 3 1 3 1 3 1 2 1 2 1 2 2 1 2 2 1 1 1 1 2 1 1 1 1 2 3 1 3 1 1
## [223] 3 1 3 3 3 1 3 3 1 3 2 1 2 1 3 3 3 2 2 1 3 2 3 1 1 2 2 3 3 3 3 2 1 2 1 1 3
## [260] 1 3 2 1 2 2 3 1 3 2 1 1 3 3 3 1 2 3 3 2 3 1 2 3 3 2 2 1 2 2 3 3 2 1 2 3 1
## [297] 3 2 1 3 2 1 3 1 2 1 2 2 2 2 3 1 1 1 1mydata## ID Age Smoke Quetelet Calories Fat Fiber Alcohol Cholesterol BetaDiet
## 1 1 64 No 21.4838 1298.8 57.0 6.3 0.0 170.3 1945
## 2 2 76 No 23.8763 1032.5 50.1 15.8 0.0 75.8 2653
## 3 3 38 No 20.0108 2372.3 83.6 19.1 14.1 257.9 6321
## 4 4 40 No 25.1406 2449.5 97.5 26.5 0.5 332.6 1061
## 5 5 72 No 20.9850 1952.1 82.6 16.2 0.0 170.8 2863
## 6 6 40 No 27.5214 1366.9 56.0 9.6 1.3 154.6 1729
## 7 7 65 No 22.0115 2213.9 52.0 28.7 0.0 255.1 5371
## 8 8 58 No 28.7570 1595.6 63.4 10.9 0.0 214.1 823
## 9 9 35 No 23.0766 1800.5 57.8 20.3 0.6 233.6 2895
## 10 10 55 No 34.9699 1263.6 39.6 15.5 0.0 171.9 3307
## 11 11 66 No 20.9465 1460.8 58.0 18.2 1.0 137.4 1714
## 12 12 40 No 36.4316 1638.2 49.3 14.9 0.0 130.7 2031
## 13 13 57 No 31.7304 2072.9 106.7 9.6 0.9 420.0 1982
## 14 14 66 No 21.7885 987.5 35.6 10.3 0.0 254.9 2120
## 15 15 66 No 27.3192 1574.3 75.0 7.1 0.0 361.5 1388
## 16 16 64 No 31.4467 2868.5 128.8 15.0 20.0 379.5 3888
## 17 17 62 No 25.9025 1751.1 80.7 8.4 14.1 160.3 2194
## 18 18 75 No 29.1526 1407.6 35.0 20.8 7.0 144.1 3470
## 19 19 68 No 38.1873 1628.5 78.6 11.6 0.0 512.3 2108
## 20 20 57 No 25.8967 1101.4 48.5 8.5 5.0 197.2 1157
## 21 21 56 No 24.4588 2433.6 127.6 19.9 7.1 271.2 1739
## 22 22 30 No 22.7212 1437.3 61.5 8.8 2.3 160.9 1008
## 23 23 34 No 24.0812 2062.7 81.1 13.6 18.0 190.5 606
## 24 24 53 No 23.1598 1276.5 50.1 9.0 4.7 143.5 1380
## 25 25 60 No 49.1203 2114.8 77.6 14.9 0.5 239.9 4916
## 26 26 50 No 23.0766 1113.0 32.8 12.9 3.0 104.8 4451
## 27 27 62 No 33.7244 1323.0 60.8 11.4 0.0 155.8 5983
## 28 28 61 No 25.1827 2837.3 84.2 33.8 0.0 192.1 2413
## 29 29 65 No 28.9498 2055.9 111.8 15.9 0.0 226.5 3087
## 30 30 71 No 24.6800 1285.8 55.4 10.6 2.0 353.4 521
## 31 31 43 No 28.4015 1786.9 93.9 10.6 0.0 247.0 2431
## 32 32 33 No 20.5696 3144.8 155.0 17.6 4.1 308.8 3141
## 33 33 74 Yes 16.3311 1241.0 53.1 10.8 0.1 206.1 1668
## 34 34 41 No 21.0312 2419.3 122.7 16.2 0.3 325.2 4366
## 35 35 56 No 22.6438 2712.7 145.3 13.4 8.0 242.6 494
## 36 36 44 Yes 25.8787 1810.0 95.3 17.5 0.0 253.1 7026
## 37 37 37 No 35.3601 1778.1 75.9 10.8 0.5 332.6 1529
## 38 38 37 No 25.9400 1147.9 47.6 7.3 0.1 117.0 241
## 39 39 39 Yes 21.9991 1951.4 109.1 4.7 0.0 461.1 998
## 40 40 37 No 22.5121 2035.5 65.7 22.1 0.7 205.3 6082
## 41 41 53 No 27.4927 1248.6 56.9 8.2 0.0 223.2 2741
## 42 42 66 No 27.4961 3184.8 199.0 16.8 0.2 362.6 2100
## 43 43 58 No 24.1797 1538.1 78.7 14.2 0.9 231.2 2359
## 44 44 31 Yes 23.3459 1456.5 56.6 8.5 1.0 182.7 603
## 45 45 49 No 21.6784 1656.3 59.5 13.3 0.1 180.3 1625
## 46 46 75 No 21.3291 1396.8 53.3 13.2 3.2 99.3 2888
## 47 47 62 No 33.7442 1588.1 88.9 7.4 0.0 362.6 1099
## 48 48 56 No 32.0748 1566.5 95.2 6.5 7.2 408.0 2103
## 49 49 69 No 31.6684 827.9 32.8 8.7 0.0 79.8 2260
## 50 50 50 Yes 25.1119 2340.4 110.4 11.3 14.0 260.7 452
## 51 51 50 No 20.4034 1902.9 72.9 35.4 7.3 175.6 3549
## 52 52 72 No 39.2229 1111.9 47.2 10.2 0.2 69.4 2204
## 53 53 60 No 19.9326 1333.8 37.1 16.9 6.5 84.0 4964
## 54 54 55 No 21.6362 1896.1 82.2 9.3 10.0 296.8 1052
## 55 55 43 No 29.0047 1472.7 61.8 12.2 0.0 216.3 3572
## 56 56 29 No 18.8340 2237.4 77.6 22.6 0.7 180.6 2902
## 57 57 44 Yes 29.1135 1446.2 63.2 9.5 3.2 208.8 1788
## 58 58 48 No 32.3483 2908.5 139.1 16.4 0.2 511.6 5111
## 59 59 38 No 23.8573 2190.7 96.9 17.7 1.3 192.1 1378
## 60 60 33 No 19.4090 1878.2 81.6 9.6 4.9 265.8 1431
## 61 61 56 No 16.6367 1436.8 57.2 9.4 0.0 183.3 1727
## 62 62 65 Yes 23.3762 6662.2 164.3 11.3 203.0 603.0 2893
## 63 63 48 No 30.2950 2893.3 125.8 18.8 1.7 256.7 2524
## 64 64 66 No 22.5743 1902.4 76.7 17.7 3.1 216.7 2533
## 65 65 78 No 26.3675 1531.6 69.5 5.4 0.0 168.0 982
## 66 66 65 No 23.5424 1220.7 34.6 16.5 5.6 152.8 1535
## 67 67 72 No 22.0119 1247.7 46.8 10.2 0.0 347.9 326
## 68 68 31 Yes 21.0778 1631.5 75.2 8.5 0.7 277.1 1487
## 69 69 74 No 25.7393 818.1 34.3 6.6 3.7 55.4 1114
## 70 70 61 No 25.1827 1570.1 58.7 19.3 2.0 158.3 1080
## 71 71 83 No 25.2068 1331.2 50.6 7.7 0.3 380.7 2492
## 72 72 46 No 30.7096 2052.4 120.4 10.2 0.0 195.2 1349
## 73 73 62 No 23.9217 1823.0 80.3 17.4 6.2 256.8 6948
## 74 74 56 Yes 20.6410 1743.8 85.3 13.2 7.2 349.6 1086
## 75 75 33 No 26.6369 3457.2 166.0 17.5 10.5 452.8 2629
## 76 76 45 No 22.3611 1126.7 20.4 12.5 7.2 71.8 1307
## 77 77 41 No 23.0939 3258.3 101.2 26.2 0.5 341.7 1306
## 78 78 73 No 24.6800 2833.7 119.9 14.6 18.2 365.0 3465
## 79 79 31 No 21.3314 2264.3 105.5 13.4 3.2 396.5 1846
## 80 80 50 No 25.1199 2026.0 85.5 11.2 21.0 268.2 1334
## 81 81 65 No 28.4020 1747.6 83.6 10.9 0.0 244.8 4848
## 82 82 35 Yes 21.8340 1575.5 53.9 7.0 1.0 216.2 1734
## 83 83 42 No 29.0357 1785.4 94.1 10.0 0.7 288.0 1120
## 84 84 19 No 29.2415 2558.9 116.1 12.3 0.0 324.5 1498
## 85 85 37 No 19.9861 839.0 29.2 4.7 6.4 66.5 330
## 86 86 44 No 24.0812 2391.3 95.4 20.6 0.0 283.3 5909
## 87 87 36 No 23.3459 1887.4 110.2 6.0 0.1 211.7 3326
## 88 88 53 Yes 25.1406 2798.2 125.9 17.7 7.0 239.0 2110
## 89 89 69 Yes 27.2289 2654.9 126.0 23.3 0.0 248.0 2719
## 90 90 74 No 27.9862 1202.0 46.6 11.4 0.0 59.2 2309
## 91 91 70 No 22.5331 1235.9 51.1 9.6 3.0 142.0 1153
## 92 92 56 No 26.3173 2225.1 111.5 10.4 6.8 283.7 1432
## 93 93 77 No 27.7905 866.9 31.0 9.8 0.2 59.7 2493
## 94 94 73 No 24.4172 1666.8 76.5 13.3 0.0 747.5 3054
## 95 95 43 No 23.0381 3711.0 202.7 14.9 18.0 469.2 1861
## 96 96 41 No 23.6169 1055.0 33.2 12.9 0.9 220.0 4268
## 97 97 22 No 27.0053 2733.0 123.8 5.1 0.3 440.3 1652
## 98 98 44 No 23.4605 1660.1 80.3 13.6 0.1 89.0 1802
## 99 99 51 No 25.1571 1952.7 63.8 17.9 11.0 201.3 2308
## 100 100 46 Yes 35.2597 2667.5 131.6 10.1 0.0 550.5 1210
## 101 101 25 Yes 20.6410 1517.4 59.1 5.9 0.0 127.6 214
## 102 102 69 No 23.0056 1711.4 98.2 10.8 0.3 332.4 1370
## 103 103 69 No 25.2317 1756.4 82.3 8.8 0.0 500.3 2354
## 104 104 58 No 27.3369 2186.2 99.3 14.9 0.2 263.8 2446
## 105 105 77 No 25.8813 2075.2 75.6 21.4 0.0 228.8 3473
## 106 106 67 No 24.7353 2021.2 94.8 13.3 8.0 417.6 3359
## 107 107 37 No 29.3256 1653.2 77.3 12.5 1.0 162.6 1062
## 108 108 47 No 21.1882 1076.6 33.4 22.5 4.1 138.8 1489
## 109 109 60 Yes 19.6773 1506.7 76.3 14.6 0.0 239.2 3982
## 110 110 49 No 25.0700 1511.7 54.4 16.1 4.2 200.5 1656
## 111 111 83 No 25.5977 1933.6 98.8 11.1 0.0 224.7 768
## 112 112 56 No 22.0119 1830.0 52.8 13.8 8.5 689.4 1496
## 113 113 39 No 30.2913 1256.7 43.7 5.3 0.3 133.6 683
## 114 114 41 No 41.8559 1823.7 54.7 14.6 0.0 188.0 885
## 115 115 37 Yes 28.3357 1902.8 81.7 8.2 0.0 178.6 1662
## 116 116 66 No 26.5081 958.5 37.7 8.3 0.0 108.6 1552
## 117 117 55 No 21.0778 2328.3 112.6 13.9 2.9 281.9 2144
## 118 118 49 No 39.4650 1574.0 74.6 14.1 0.0 440.6 3567
## 119 119 31 No 18.9836 1646.2 52.2 13.2 5.0 174.9 1423
## 120 120 64 No 18.8783 1828.0 63.4 14.7 0.0 87.9 1293
## 121 121 57 No 23.2212 1288.7 63.2 10.6 0.0 200.2 2111
## 122 122 42 Yes 26.8491 1084.3 25.2 21.8 1.0 105.7 2874
## 123 123 40 No 25.8813 2431.9 93.7 17.8 0.1 364.6 1699
## 124 124 73 Yes 19.4090 2453.5 118.5 10.3 0.0 516.5 954
## 125 125 37 No 19.5708 1645.7 76.0 6.6 4.0 225.9 1368
## 126 126 43 No 20.2970 2075.9 96.5 17.3 7.0 271.8 3318
## 127 127 66 No 26.4205 1563.7 73.3 12.0 1.1 300.9 2247
## 128 128 26 No 20.3795 1663.3 64.6 7.6 2.0 124.7 910
## 129 129 45 No 29.2415 1601.4 93.9 8.8 0.0 255.8 1171
## 130 130 74 No 30.2950 1718.9 57.9 15.0 1.2 272.7 2077
## 131 131 49 No 21.4790 1010.6 29.4 9.1 6.2 98.8 1210
## 132 132 41 No 19.4090 1372.7 61.6 9.5 0.0 182.5 1826
## 133 133 74 No 27.3192 1837.0 76.9 13.6 0.0 383.6 2628
## 134 134 38 Yes 21.8451 1662.7 58.7 15.7 3.7 163.7 561
## 135 135 83 No 22.2224 1534.7 54.9 26.3 0.0 77.5 1893
## 136 136 70 No 28.0470 2005.8 89.5 8.5 0.1 121.2 1312
## 137 137 39 No 26.0943 1187.8 32.8 11.6 0.0 154.9 1913
## 138 138 65 No 21.5851 1446.2 56.8 10.8 0.0 127.9 924
## 139 139 72 No 21.0312 976.7 68.4 3.1 0.0 99.6 728
## 140 140 46 No 23.6773 2706.7 104.9 16.8 22.0 416.0 4387
## 141 141 46 No 30.0587 1546.0 73.6 10.3 7.0 284.8 1976
## 142 142 51 No 34.1851 1324.0 46.0 12.7 0.0 151.0 2422
## 143 143 39 No 24.0812 1368.9 61.6 14.4 6.7 314.9 1407
## 144 144 33 Yes 20.1613 3228.0 141.1 14.4 0.0 718.8 1301
## 145 145 49 No 31.7263 2825.8 97.8 7.5 35.0 374.3 1112
## 146 146 44 No 23.3932 1220.9 35.1 14.0 0.0 99.2 1052
## 147 147 69 No 24.2613 1174.7 47.4 9.9 0.1 89.9 1008
## 148 148 52 No 27.8335 828.2 52.3 6.1 1.2 141.1 1054
## 149 149 82 No 20.2177 1708.1 94.2 15.1 2.0 224.7 1484
## 150 150 46 No 23.4786 1182.9 60.2 5.2 0.2 164.5 657
## 151 151 25 No 22.7051 928.4 29.7 6.0 0.5 120.7 604
## 152 152 54 No 37.8687 4373.6 235.9 22.9 0.1 814.7 2912
## 153 153 70 No 25.7393 1387.7 55.2 11.2 0.0 114.0 869
## 154 154 35 No 18.4385 1555.6 72.8 11.5 0.0 174.1 1578
## 155 155 46 No 33.1948 1581.7 64.1 12.3 0.1 170.1 1210
## 156 156 70 No 29.5966 1397.4 60.5 9.2 0.0 228.5 1554
## 157 157 71 No 22.1532 1305.4 43.3 10.2 0.0 72.7 3445
## 158 158 59 No 26.8868 1249.6 24.2 14.7 0.0 97.2 3014
## 159 159 42 No 20.5412 2347.3 104.4 12.5 0.0 249.3 1666
## 160 160 46 No 39.4062 1207.1 42.8 11.6 0.0 155.1 1462
## 161 161 37 No 33.3723 1688.1 45.0 17.1 0.8 141.1 1272
## 162 162 39 No 21.9409 1719.3 49.7 18.4 11.0 164.6 5296
## 163 163 43 No 25.5828 2501.6 121.1 19.5 0.0 343.0 5605
## 164 164 23 No 20.1259 2219.1 120.9 13.1 2.0 415.8 2430
## 165 165 45 No 20.2398 1827.7 71.2 10.4 2.0 267.5 2375
## 166 166 63 No 23.9217 1282.3 26.4 13.6 0.1 100.6 3753
## 167 167 44 Yes 28.3486 1427.2 60.6 8.3 0.2 195.0 695
## 168 168 43 No 20.4034 2000.8 86.7 14.8 0.9 200.9 1649
## 169 169 33 No 27.8695 1622.4 71.5 12.9 1.0 214.8 2317
## 170 170 35 No 34.0818 3114.0 160.2 14.9 0.2 432.3 1702
## 171 171 50 No 23.0716 2012.0 112.9 14.3 6.5 456.9 1007
## 172 172 50 No 29.0157 2106.4 97.0 12.9 0.0 344.3 2308
## 173 173 59 No 25.5977 1546.6 72.9 15.1 0.7 192.8 4694
## 174 174 38 No 23.0766 1149.0 43.6 8.6 10.5 122.5 2749
## 175 175 60 No 29.7475 659.3 22.2 7.0 0.1 102.0 1497
## 176 176 54 No 19.1770 1580.6 82.9 9.4 5.2 98.3 1171
## 177 177 71 No 24.4634 1850.5 75.9 16.1 7.2 247.9 3054
## 178 178 48 No 22.5319 1242.1 37.5 13.3 1.0 148.4 1488
## 179 179 49 No 32.0177 1099.4 56.9 5.2 0.5 169.9 829
## 180 180 27 Yes 29.2415 1127.6 59.4 7.4 0.0 183.4 1037
## 181 181 27 Yes 25.4454 2919.5 125.3 14.3 1.0 370.0 846
## 182 182 75 No 21.5278 1049.1 51.7 8.0 0.0 188.9 1382
## 183 183 45 No 26.4205 1366.6 42.5 12.9 2.5 141.2 3407
## 184 184 35 No 30.4455 1884.8 91.6 11.1 5.0 518.0 758
## 185 185 56 No 33.5921 1494.5 59.1 6.8 0.0 111.5 599
## 186 186 41 Yes 27.5214 1444.6 89.1 6.8 0.0 280.1 1073
## 187 187 48 No 32.9913 445.2 14.4 5.0 0.0 102.8 862
## 188 188 48 No 21.8351 1849.8 80.6 13.8 3.2 549.1 4291
## 189 189 32 No 20.1579 1678.2 54.3 12.9 1.5 147.3 1668
## 190 190 38 No 46.7376 1390.4 55.7 10.8 0.0 195.1 2809
## 191 191 52 No 33.2962 1749.9 81.3 12.1 0.0 226.5 2373
## 192 192 40 No 24.0103 742.3 36.5 5.9 2.1 133.9 1850
## 193 193 44 No 23.0716 1148.5 50.3 7.1 0.1 139.2 1352
## 194 194 70 No 22.4821 1730.6 72.9 14.4 0.2 363.1 2315
## 195 195 55 Yes 29.0357 1162.5 54.0 5.6 0.2 175.2 1417
## 196 196 48 No 20.2177 1738.9 63.5 12.2 0.5 205.9 4504
## 197 197 38 No 20.7176 1432.1 58.5 6.3 0.2 131.9 998
## 198 198 49 No 20.4034 3098.9 106.2 25.2 1.2 447.6 4430
## 199 199 36 No 32.9594 2342.3 95.8 19.2 1.7 389.4 3201
## 200 200 64 No 21.5011 2319.9 97.6 22.3 0.0 155.3 3686
## 201 201 49 No 23.6794 1292.8 43.1 10.6 11.0 180.7 2131
## 202 202 49 Yes 22.7216 784.4 40.6 4.9 3.0 97.4 852
## 203 203 43 No 22.9146 2038.5 80.7 17.1 0.0 232.3 2781
## 204 204 33 No 23.9378 1366.8 55.9 6.2 0.0 196.0 1151
## 205 205 38 No 26.0943 1550.0 66.8 12.1 0.0 253.2 3970
## 206 206 36 No 19.7664 1240.7 50.9 6.9 0.3 116.0 808
## 207 207 33 No 21.6734 2814.6 111.2 16.8 0.0 399.3 843
## 208 208 47 No 20.8130 1612.5 45.5 9.0 15.0 149.9 2537
## 209 209 53 No 40.6892 1576.3 54.8 13.5 0.1 308.9 2205
## 210 210 41 No 29.1423 1197.7 54.5 4.9 0.0 135.6 587
## 211 211 36 No 21.0778 2045.3 84.8 13.2 0.7 271.9 3591
## 212 212 32 No 35.9753 3328.4 163.3 20.0 4.1 425.5 3434
## 213 213 57 No 26.9429 2513.3 98.9 10.6 0.0 428.1 2869
## 214 214 42 No 21.6784 1737.4 62.1 16.3 0.2 211.7 2515
## 215 215 37 Yes 27.2655 1034.4 34.5 8.9 0.0 118.5 807
## 216 216 52 No 32.6718 2083.9 93.1 8.8 0.0 328.1 766
## 217 217 45 Yes 28.7254 1481.8 75.3 10.4 0.2 336.9 720
## 218 218 42 No 20.7690 1051.2 44.0 10.9 0.2 165.5 516
## 219 219 42 No 21.2065 1730.1 58.3 16.6 4.5 196.1 3785
## 220 220 41 Yes 20.7176 1102.8 56.6 5.3 0.0 329.8 1436
## 221 221 41 No 26.3117 1496.7 64.6 5.9 1.0 239.8 613
## 222 222 26 Yes 20.5412 1987.2 76.6 9.8 0.0 156.1 1460
## 223 223 70 No 20.1613 2017.2 136.0 7.6 0.0 195.8 2251
## 224 224 44 No 26.3675 1525.6 85.4 7.9 0.1 179.4 2029
## 225 225 46 No 28.4020 1342.2 69.7 5.9 1.0 215.4 8046
## 226 226 22 No 50.4033 1511.7 64.4 10.2 0.0 190.3 1074
## 227 227 46 Yes 21.6784 1570.1 74.1 13.7 0.9 145.7 3556
## 228 228 32 No 20.0560 2703.4 120.6 11.4 0.1 284.3 1218
## 229 229 27 No 23.8763 1200.6 61.5 8.7 1.5 208.7 2199
## 230 230 52 No 37.1113 1891.6 73.8 17.6 0.0 226.0 5810
## 231 231 42 No 36.5973 1434.9 59.3 11.2 0.0 281.1 1214
## 232 232 34 No 28.5795 2118.1 93.0 20.1 0.0 170.0 2215
## 233 233 36 No 40.2953 1414.6 51.2 13.7 0.0 135.8 1678
## 234 234 59 No 24.8040 2192.3 78.7 14.2 0.0 173.5 2579
## 235 235 75 No 36.4737 1380.6 54.5 13.5 0.1 201.6 925
## 236 236 43 No 45.8581 1626.3 72.2 7.9 0.0 157.5 404
## 237 237 56 No 30.4824 2210.7 113.1 10.5 6.1 340.1 2008
## 238 238 48 No 19.7039 1600.7 77.7 11.2 7.2 180.1 2469
## 239 239 34 Yes 21.9638 1076.2 52.7 6.1 0.0 78.3 755
## 240 240 37 No 23.3459 2094.5 78.9 17.3 1.0 193.4 1718
## 241 241 41 No 31.8216 1823.0 74.8 12.1 1.3 196.9 2133
## 242 242 74 No 23.3459 1512.1 73.8 8.7 5.7 182.8 1167
## 243 243 73 No 21.0113 840.6 34.3 8.2 0.1 81.1 619
## 244 244 53 Yes 19.7810 1996.1 98.8 9.2 0.0 436.8 908
## 245 245 74 No 21.1364 2171.6 76.6 20.4 0.0 176.3 3690
## 246 246 77 No 24.3272 1481.4 55.0 11.2 0.0 191.7 3425
## 247 247 39 No 21.1781 1829.2 79.0 15.6 0.0 178.4 2787
## 248 248 29 No 18.6003 1041.6 45.4 6.0 3.0 139.5 675
## 249 249 37 No 44.9106 2010.4 101.2 16.0 0.1 362.4 2142
## 250 250 47 No 23.9642 2120.8 77.4 17.0 8.4 185.9 2299
## 251 251 64 No 21.2065 1008.4 35.4 5.6 14.0 37.7 544
## 252 252 36 No 42.8886 798.2 30.6 7.9 2.4 46.3 604
## 253 253 42 No 20.4172 3099.2 134.9 19.0 0.8 469.3 6558
## 254 254 64 No 25.6599 2055.7 114.4 13.0 0.0 248.4 2661
## 255 255 38 No 20.7029 2585.3 129.8 21.1 4.0 429.5 7362
## 256 256 39 No 28.4015 1906.5 86.4 10.4 15.5 265.9 2583
## 257 257 40 No 31.2422 3014.9 165.7 14.4 0.0 900.7 1028
## 258 258 29 No 37.9400 1631.0 55.6 13.8 0.5 189.5 3435
## 259 259 71 No 24.9883 1399.5 66.5 9.6 8.0 260.0 1527
## 260 260 45 No 23.4316 2319.0 122.1 13.4 0.1 305.7 2047
## 261 261 63 No 18.9209 1655.9 70.8 15.1 0.1 177.3 2897
## 262 262 46 No 24.2613 1422.8 58.3 7.8 7.1 206.3 1987
## 263 263 75 No 21.6784 2511.5 92.3 36.8 0.6 228.3 4271
## 264 264 46 No 35.1907 740.6 38.5 5.3 0.0 113.9 868
## 265 265 44 No 22.5440 1292.6 49.4 10.4 1.2 186.5 578
## 266 266 24 No 31.9972 3021.9 171.0 11.4 0.1 466.3 953
## 267 267 32 No 22.5121 1918.4 63.1 16.1 5.0 202.2 1048
## 268 268 66 No 22.6438 2086.6 72.3 16.0 0.0 112.8 1439
## 269 269 43 No 26.3475 3449.7 172.8 20.5 1.4 381.3 3324
## 270 270 73 No 24.9412 1186.4 46.1 10.5 1.5 119.7 921
## 271 271 54 No 25.7501 1724.7 75.1 18.2 0.0 173.3 1192
## 272 272 44 Yes 29.9774 1877.4 92.2 7.7 0.2 211.6 1665
## 273 273 55 No 22.8771 2272.6 94.5 10.9 14.2 269.2 3610
## 274 274 70 Yes 23.8270 1514.4 51.7 14.2 7.0 97.5 3317
## 275 275 32 No 25.4573 2170.3 95.1 15.2 0.2 175.2 3313
## 276 276 33 No 23.2690 2271.1 114.6 10.4 0.0 574.2 1270
## 277 277 49 No 22.5064 1469.9 50.4 12.1 0.7 118.8 1915
## 278 278 69 No 44.2062 2332.2 109.6 19.7 0.1 286.7 4013
## 279 279 38 No 20.7173 1619.3 83.7 8.4 0.5 310.1 902
## 280 280 34 Yes 34.0818 1148.7 41.7 9.8 1.0 173.4 2247
## 281 281 49 No 20.0895 2512.0 64.9 30.2 0.6 168.5 4832
## 282 282 40 Yes 18.3432 833.0 38.8 5.5 0.0 145.3 577
## 283 283 41 No 28.0470 1808.4 61.5 10.5 17.0 176.1 1884
## 284 284 62 No 29.8494 2115.4 84.1 23.9 0.0 189.5 3172
## 285 285 28 No 20.1250 1600.9 68.0 14.2 0.2 171.2 3102
## 286 286 78 No 41.6857 647.7 30.9 3.7 0.0 87.5 1186
## 287 287 67 No 30.7309 849.2 25.4 10.9 0.0 91.7 1237
## 288 288 51 No 24.9082 2166.9 105.8 15.6 0.0 349.1 4098
## 289 289 29 Yes 26.6874 2476.2 121.1 14.3 0.0 263.5 2889
## 290 290 36 Yes 25.7393 1959.3 112.4 6.7 0.5 326.7 1097
## 291 291 43 No 18.5769 1695.3 62.4 17.7 0.0 147.3 570
## 292 292 55 No 25.4258 2307.8 111.0 18.4 3.4 487.8 2627
## 293 293 54 No 24.9550 1392.2 47.8 12.9 0.0 87.5 849
## 294 294 32 No 39.5620 3511.1 114.7 13.9 0.2 444.7 2174
## 295 295 65 No 26.7596 1276.0 60.5 12.0 3.5 87.3 1456
## 296 296 41 Yes 41.6495 2685.1 133.1 11.1 15.0 432.4 3728
## 297 297 60 No 40.6953 1327.0 64.8 9.3 0.1 341.0 1987
## 298 298 73 No 25.8473 853.1 29.8 6.3 10.0 160.5 1022
## 299 299 71 No 21.8109 1215.8 43.8 12.3 5.0 110.8 2079
## 300 300 47 No 37.2776 1927.6 92.5 10.7 0.0 359.1 406
## 301 301 35 No 29.5855 2466.9 112.6 9.6 0.1 331.9 621
## 302 302 34 Yes 21.3291 3103.7 124.7 18.1 8.3 431.0 2652
## 303 303 41 No 34.6149 2046.9 103.0 13.1 0.0 334.2 1745
## 304 304 33 No 18.5769 1835.9 74.1 23.0 0.7 184.2 2121
## 305 305 73 Yes 20.7112 1678.5 82.3 6.3 14.1 249.5 1078
## 306 306 67 No 26.9429 1049.2 44.6 9.6 0.0 247.2 2672
## 307 307 66 No 33.1076 1762.1 72.9 16.5 0.0 240.3 4935
## 308 308 44 Yes 23.2772 3183.1 119.4 6.9 35.0 378.8 1118
## 309 309 36 No 24.7434 2838.8 88.5 24.0 4.5 252.4 9642
## 310 310 48 No 24.6147 2021.1 72.2 16.6 9.0 299.1 1392
## 311 311 46 No 25.8967 2263.6 98.2 19.4 2.6 306.5 2572
## 312 312 45 No 23.8270 1841.1 84.2 14.1 2.2 257.7 1665
## 313 313 49 No 24.2613 1125.6 44.8 11.9 4.0 150.5 6943
## 314 314 31 No 23.4525 2729.6 144.4 13.2 2.2 381.8 741
## 315 315 45 No 26.5081 1627.0 77.4 9.9 0.2 195.6 1242
## RetinolDiet BetaPlasma RetinolPlasma Gender VitaminUse PriorSmoke
## 1 890 200 915 Female Regular 2
## 2 451 124 727 Female Regular 1
## 3 660 328 721 Female Occasional 2
## 4 864 153 615 Female No 2
## 5 1209 92 799 Female Regular 1
## 6 1439 148 654 Female No 2
## 7 802 258 834 Female Occasional 1
## 8 2571 64 825 Female Regular 1
## 9 944 218 517 Female No 1
## 10 493 81 562 Female No 2
## 11 535 184 935 Female Regular 2
## 12 492 91 741 Female Occasional 1
## 13 1105 120 679 Male No 1
## 14 1047 61 507 Female Regular 1
## 15 980 108 852 Male No 1
## 16 1545 211 1249 Male No 2
## 17 242 235 1035 Male Regular 2
## 18 479 288 1262 Male Regular 2
## 19 921 102 904 Female No 1
## 20 445 113 1727 Male No 2
## 21 926 74 684 Male No 2
## 22 695 129 537 Female No 2
## 23 944 140 760 Female No 1
## 24 708 138 809 Female Occasional 2
## 25 1150 143 697 Female Regular 1
## 26 554 416 676 Female Regular 1
## 27 320 212 822 Female Occasional 2
## 28 656 786 691 Female Regular 1
## 29 1199 35 599 Male No 1
## 30 975 122 901 Male No 2
## 31 914 119 818 Female No 2
## 32 1579 182 623 Female Occasional 2
## 33 1618 186 624 Female No 3
## 34 1759 216 526 Female No 1
## 35 608 751 1002 Male Occasional 2
## 36 508 39 179 Female Regular 3
## 37 517 107 564 Female Occasional 2
## 38 314 74 456 Female No 2
## 39 588 418 665 Male Regular 3
## 40 674 1415 632 Female Regular 1
## 41 419 400 502 Female No 1
## 42 1083 102 838 Female No 2
## 43 834 135 574 Female Occasional 2
## 44 473 97 611 Female Occasional 3
## 45 707 124 476 Female Occasional 1
## 46 323 195 546 Female Regular 1
## 47 651 107 411 Female Regular 1
## 48 855 53 475 Female No 1
## 49 264 148 321 Male Regular 2
## 50 550 77 388 Female No 3
## 51 969 316 586 Female No 1
## 52 239 77 648 Female Regular 1
## 53 374 266 550 Female Occasional 1
## 54 605 39 783 Male No 2
## 55 809 225 258 Female Regular 1
## 56 1065 173 299 Female Regular 1
## 57 677 79 384 Female Occasional 3
## 58 1359 102 692 Female Regular 2
## 59 685 158 634 Female Occasional 1
## 60 724 159 592 Female Occasional 1
## 61 898 157 383 Female Regular 1
## 62 1364 96 317 Male No 3
## 63 1250 160 247 Female Regular 1
## 64 592 100 730 Male Regular 2
## 65 854 293 587 Female Regular 2
## 66 493 171 407 Male No 1
## 67 407 89 831 Female No 2
## 68 1120 109 531 Female Occasional 3
## 69 453 129 560 Female No 2
## 70 724 87 397 Female No 1
## 71 1310 328 768 Female Occasional 1
## 72 860 298 393 Female Occasional 2
## 73 417 379 810 Female Regular 2
## 74 464 204 624 Female No 3
## 75 1470 75 227 Male Regular 1
## 76 178 127 525 Female No 2
## 77 1163 131 542 Female Regular 2
## 78 743 21 558 Male No 2
## 79 760 233 504 Female Occasional 2
## 80 486 73 1031 Male Regular 1
## 81 1005 25 187 Female No 1
## 82 1215 137 677 Female Regular 3
## 83 619 82 783 Male Regular 2
## 84 1066 327 693 Female Regular 1
## 85 394 142 511 Female Regular 1
## 86 1702 86 435 Female Regular 2
## 87 928 150 362 Female No 2
## 88 1458 53 592 Male No 3
## 89 1323 112 360 Male No 3
## 90 578 104 476 Female Regular 1
## 91 1048 170 369 Female Regular 1
## 92 1006 150 619 Female No 2
## 93 640 282 472 Female Regular 1
## 94 4041 91 426 Male Regular 2
## 95 783 125 592 Female Regular 2
## 96 341 282 426 Male Occasional 1
## 97 1525 16 799 Female Regular 2
## 98 233 129 497 Female Regular 2
## 99 1838 180 622 Female No 2
## 100 1291 39 549 Male No 3
## 101 914 54 539 Female Regular 3
## 102 695 78 522 Male Occasional 2
## 103 842 34 551 Male No 2
## 104 881 95 466 Female Occasional 1
## 105 1326 174 423 Male Occasional 1
## 106 1060 95 797 Male No 2
## 107 1070 97 532 Female Occasional 2
## 108 490 204 422 Female Occasional 2
## 109 350 25 421 Female No 3
## 110 652 270 527 Female Occasional 2
## 111 719 285 512 Male Regular 2
## 112 546 110 756 Female Regular 1
## 113 627 162 456 Female No 1
## 114 687 179 456 Female Occasional 1
## 115 779 131 449 Female No 3
## 116 326 86 406 Female No 1
## 117 815 225 519 Female Occasional 1
## 118 963 249 464 Female Regular 2
## 119 1845 254 523 Female Regular 2
## 120 1101 189 588 Female Regular 1
## 121 950 108 564 Female Regular 1
## 122 159 121 927 Female Regular 3
## 123 2263 238 953 Male Regular 2
## 124 1328 127 516 Male No 3
## 125 427 141 669 Female Occasional 1
## 126 651 427 572 Female No 1
## 127 728 305 727 Female Occasional 1
## 128 605 74 544 Female No 1
## 129 453 156 917 Female Regular 2
## 130 1374 168 586 Female Occasional 1
## 131 555 116 516 Female No 1
## 132 386 290 404 Female Regular 2
## 133 966 304 709 Male No 1
## 134 947 198 429 Female No 3
## 135 426 253 629 Male Regular 1
## 136 688 148 1139 Female Regular 1
## 137 1048 492 466 Female Occasional 2
## 138 684 156 372 Female Regular 1
## 139 797 27 558 Female Regular 2
## 140 926 52 476 Male No 2
## 141 417 210 418 Female No 1
## 142 208 83 564 Female No 1
## 143 1335 182 431 Female Regular 1
## 144 307 40 485 Female No 3
## 145 735 69 733 Male No 2
## 146 441 172 402 Female No 1
## 147 783 253 760 Female No 1
## 148 366 435 659 Female No 2
## 149 790 429 599 Female Regular 1
## 150 441 326 495 Female No 1
## 151 432 75 436 Female Occasional 1
## 152 2104 121 416 Female Regular 1
## 153 1595 292 701 Female Occasional 1
## 154 689 207 553 Female Occasional 1
## 155 795 118 652 Female Occasional 1
## 156 675 108 621 Male No 1
## 157 1015 385 617 Female Regular 2
## 158 1340 408 784 Female Regular 1
## 159 859 97 352 Female Regular 1
## 160 868 118 677 Female No 1
## 161 145 60 520 Female Regular 2
## 162 554 357 474 Female Occasional 2
## 163 858 858 643 Female Regular 2
## 164 746 104 400 Female Regular 1
## 165 1284 219 627 Female Regular 2
## 166 649 296 701 Female Regular 1
## 167 270 164 566 Female Occasional 3
## 168 751 487 453 Female Regular 1
## 169 437 70 428 Female No 2
## 170 1224 43 434 Female No 2
## 171 6901 274 592 Female No 1
## 172 982 231 413 Female Occasional 2
## 173 864 346 849 Female Regular 2
## 174 329 181 727 Female No 2
## 175 244 116 700 Female No 2
## 176 465 391 499 Female Regular 2
## 177 629 85 853 Male No 2
## 178 706 800 532 Female Regular 2
## 179 887 286 561 Female Regular 1
## 180 239 87 378 Female No 3
## 181 2118 74 419 Female Occasional 3
## 182 222 460 694 Female Regular 1
## 183 532 154 437 Female Occasional 1
## 184 454 206 657 Female No 1
## 185 845 19 396 Female Regular 2
## 186 486 168 569 Female Occasional 3
## 187 160 108 493 Female Regular 1
## 188 661 274 344 Female Regular 1
## 189 666 120 620 Female Occasional 2
## 190 482 53 277 Female Occasional 1
## 191 1816 105 464 Female Occasional 1
## 192 309 159 542 Female No 1
## 193 455 83 824 Female No 1
## 194 1196 425 602 Female Regular 1
## 195 451 99 670 Female No 3
## 196 294 159 569 Female Regular 1
## 197 699 111 443 Female No 2
## 198 632 316 399 Female Regular 1
## 199 1574 105 489 Female Occasional 2
## 200 523 317 491 Female Regular 1
## 201 227 372 1443 Female Occasional 2
## 202 311 116 602 Female Regular 3
## 203 757 229 748 Female Occasional 1
## 204 498 51 602 Female Occasional 1
## 205 390 286 502 Female Regular 1
## 206 349 110 527 Female Occasional 1
## 207 1616 143 470 Female Occasional 2
## 208 295 1212 566 Female Regular 2
## 209 824 174 491 Female Regular 1
## 210 215 86 663 Female Regular 1
## 211 1178 132 526 Female Regular 1
## 212 2167 58 556 Female Occasional 2
## 213 741 77 394 Female Regular 2
## 214 1340 237 737 Female Regular 1
## 215 141 41 573 Female Regular 3
## 216 604 103 713 Female Regular 1
## 217 701 193 777 Female Occasional 3
## 218 730 153 437 Female No 1
## 219 642 1391 609 Female Regular 1
## 220 522 89 481 Female No 3
## 221 509 84 471 Female Regular 1
## 222 322 36 296 Female Regular 3
## 223 1404 494 499 Female No 1
## 224 898 78 559 Female Regular 1
## 225 453 102 701 Female No 1
## 226 399 50 332 Female No 1
## 227 577 211 388 Female No 3
## 228 978 159 879 Female Regular 1
## 229 481 89 323 Female No 2
## 230 840 108 625 Female No 1
## 231 1119 188 614 Female Regular 1
## 232 1450 75 525 Female No 1
## 233 1307 14 432 Female Occasional 1
## 234 1026 165 734 Female Regular 2
## 235 707 143 364 Female Occasional 1
## 236 1050 241 387 Female Regular 1
## 237 638 97 709 Male No 2
## 238 538 76 561 Female No 2
## 239 417 169 418 Female No 3
## 240 1052 222 413 Female Occasional 1
## 241 728 82 506 Female Occasional 2
## 242 1169 324 628 Female Regular 1
## 243 79 146 578 Female No 1
## 244 1478 126 486 Female Occasional 3
## 245 1113 293 875 Male No 1
## 246 859 183 817 Female Regular 2
## 247 1210 170 647 Female Regular 1
## 248 403 129 820 Female Occasional 1
## 249 601 129 557 Female Occasional 1
## 250 1529 92 520 Female No 1
## 251 30 44 521 Female No 1
## 252 378 51 498 Female No 2
## 253 816 103 436 Female No 2
## 254 854 101 291 Female Occasional 2
## 255 964 372 293 Female Regular 2
## 256 632 78 600 Female Occasional 1
## 257 3061 0 254 Female Regular 1
## 258 1104 84 644 Female Regular 1
## 259 822 161 636 Female No 2
## 260 1125 331 684 Female Regular 1
## 261 505 366 535 Female No 1
## 262 608 990 584 Female Occasional 2
## 263 916 1010 473 Female Regular 1
## 264 106 236 647 Female Occasional 1
## 265 319 175 880 Female Occasional 2
## 266 1176 67 376 Female No 1
## 267 991 129 864 Female Regular 1
## 268 476 317 589 Female No 1
## 269 1558 168 510 Female Occasional 1
## 270 668 613 770 Female Regular 2
## 271 657 274 543 Female Regular 1
## 272 937 94 791 Female No 3
## 273 1825 122 537 Female No 2
## 274 766 232 516 Female No 3
## 275 1250 167 466 Female Regular 2
## 276 544 32 194 Male Occasional 1
## 277 594 128 759 Female No 2
## 278 1485 151 823 Female No 2
## 279 302 206 426 Female Occasional 1
## 280 682 75 403 Female No 3
## 281 793 447 516 Female Regular 1
## 282 444 339 560 Female Occasional 3
## 283 641 89 746 Female No 2
## 284 658 39 368 Female No 2
## 285 453 88 792 Female Occasional 1
## 286 466 114 719 Female Occasional 1
## 287 285 66 995 Female Regular 1
## 288 909 407 725 Female Occasional 1
## 289 1529 105 366 Female Occasional 3
## 290 966 140 1102 Female No 3
## 291 747 150 800 Female No 2
## 292 1627 95 854 Female Occasional 2
## 293 962 74 1517 Female Regular 1
## 294 1814 202 649 Female Occasional 1
## 295 443 133 710 Female No 1
## 296 587 63 1193 Male Regular 3
## 297 670 22 581 Female No 2
## 298 125 151 721 Female Occasional 2
## 299 597 473 946 Female Regular 1
## 300 806 58 794 Female No 1
## 301 579 87 494 Female Occasional 2
## 302 1098 113 796 Female Regular 3
## 303 445 117 738 Female No 1
## 304 426 155 444 Female Regular 2
## 305 416 41 669 Female Occasional 3
## 306 294 73 836 Female Regular 2
## 307 422 113 986 Female Occasional 1
## 308 1257 100 926 Female Occasional 3
## 309 634 265 986 Female Occasional 2
## 310 1027 144 752 Female Occasional 2
## 311 1261 164 216 Female No 2
## 312 465 80 328 Female Regular 1
## 313 520 300 502 Female Regular 1
## 314 644 121 684 Female Regular 2
## 315 554 233 826 Female Regular 1
## VitaminUseNum
## 1 1
## 2 1
## 3 2
## 4 3
## 5 1
## 6 3
## 7 2
## 8 1
## 9 3
## 10 3
## 11 1
## 12 2
## 13 3
## 14 1
## 15 3
## 16 3
## 17 1
## 18 1
## 19 3
## 20 3
## 21 3
## 22 3
## 23 3
## 24 2
## 25 1
## 26 1
## 27 2
## 28 1
## 29 3
## 30 3
## 31 3
## 32 2
## 33 3
## 34 3
## 35 2
## 36 1
## 37 2
## 38 3
## 39 1
## 40 1
## 41 3
## 42 3
## 43 2
## 44 2
## 45 2
## 46 1
## 47 1
## 48 3
## 49 1
## 50 3
## 51 3
## 52 1
## 53 2
## 54 3
## 55 1
## 56 1
## 57 2
## 58 1
## 59 2
## 60 2
## 61 1
## 62 3
## 63 1
## 64 1
## 65 1
## 66 3
## 67 3
## 68 2
## 69 3
## 70 3
## 71 2
## 72 2
## 73 1
## 74 3
## 75 1
## 76 3
## 77 1
## 78 3
## 79 2
## 80 1
## 81 3
## 82 1
## 83 1
## 84 1
## 85 1
## 86 1
## 87 3
## 88 3
## 89 3
## 90 1
## 91 1
## 92 3
## 93 1
## 94 1
## 95 1
## 96 2
## 97 1
## 98 1
## 99 3
## 100 3
## 101 1
## 102 2
## 103 3
## 104 2
## 105 2
## 106 3
## 107 2
## 108 2
## 109 3
## 110 2
## 111 1
## 112 1
## 113 3
## 114 2
## 115 3
## 116 3
## 117 2
## 118 1
## 119 1
## 120 1
## 121 1
## 122 1
## 123 1
## 124 3
## 125 2
## 126 3
## 127 2
## 128 3
## 129 1
## 130 2
## 131 3
## 132 1
## 133 3
## 134 3
## 135 1
## 136 1
## 137 2
## 138 1
## 139 1
## 140 3
## 141 3
## 142 3
## 143 1
## 144 3
## 145 3
## 146 3
## 147 3
## 148 3
## 149 1
## 150 3
## 151 2
## 152 1
## 153 2
## 154 2
## 155 2
## 156 3
## 157 1
## 158 1
## 159 1
## 160 3
## 161 1
## 162 2
## 163 1
## 164 1
## 165 1
## 166 1
## 167 2
## 168 1
## 169 3
## 170 3
## 171 3
## 172 2
## 173 1
## 174 3
## 175 3
## 176 1
## 177 3
## 178 1
## 179 1
## 180 3
## 181 2
## 182 1
## 183 2
## 184 3
## 185 1
## 186 2
## 187 1
## 188 1
## 189 2
## 190 2
## 191 2
## 192 3
## 193 3
## 194 1
## 195 3
## 196 1
## 197 3
## 198 1
## 199 2
## 200 1
## 201 2
## 202 1
## 203 2
## 204 2
## 205 1
## 206 2
## 207 2
## 208 1
## 209 1
## 210 1
## 211 1
## 212 2
## 213 1
## 214 1
## 215 1
## 216 1
## 217 2
## 218 3
## 219 1
## 220 3
## 221 1
## 222 1
## 223 3
## 224 1
## 225 3
## 226 3
## 227 3
## 228 1
## 229 3
## 230 3
## 231 1
## 232 3
## 233 2
## 234 1
## 235 2
## 236 1
## 237 3
## 238 3
## 239 3
## 240 2
## 241 2
## 242 1
## 243 3
## 244 2
## 245 3
## 246 1
## 247 1
## 248 2
## 249 2
## 250 3
## 251 3
## 252 3
## 253 3
## 254 2
## 255 1
## 256 2
## 257 1
## 258 1
## 259 3
## 260 1
## 261 3
## 262 2
## 263 1
## 264 2
## 265 2
## 266 3
## 267 1
## 268 3
## 269 2
## 270 1
## 271 1
## 272 3
## 273 3
## 274 3
## 275 1
## 276 2
## 277 3
## 278 3
## 279 2
## 280 3
## 281 1
## 282 2
## 283 3
## 284 3
## 285 2
## 286 2
## 287 1
## 288 2
## 289 2
## 290 3
## 291 3
## 292 2
## 293 1
## 294 2
## 295 3
## 296 1
## 297 3
## 298 2
## 299 1
## 300 3
## 301 2
## 302 1
## 303 3
## 304 1
## 305 2
## 306 1
## 307 2
## 308 2
## 309 2
## 310 2
## 311 3
## 312 1
## 313 1
## 314 1
## 315 1model1=lm(mydata$Cholesterol~mydata$VitaminUseNum)
model1##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$VitaminUseNum)
##
## Coefficients:
## (Intercept) mydata$VitaminUseNum
## 232.634 5.001summary(model1)##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$VitaminUseNum)
##
## Residuals:
## Min 1Q Median 3Q Max
## -209.94 -87.73 -35.94 67.77 663.07
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 232.634 18.581 12.520 <2e-16 ***
## mydata$VitaminUseNum 5.001 8.663 0.577 0.564
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 132.1 on 313 degrees of freedom
## Multiple R-squared: 0.001063, Adjusted R-squared: -0.002128
## F-statistic: 0.3332 on 1 and 313 DF, p-value: 0.5642plot(mydata$VitaminUseNum,mydata$Cholesterol)
plot(model1)
mydata$VitaminUseNum2[mydata$VitaminUse == "Regular"] <- 3
mydata$VitaminUseNum2[mydata$VitaminUse == "Occasional"] <- 2
mydata$VitaminUseNum2[mydata$VitaminUse == "No"] <- 1
model1.1=lm(mydata$Cholesterol~mydata$VitaminUseNum2)
model1.1##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$VitaminUseNum2)
##
## Coefficients:
## (Intercept) mydata$VitaminUseNum2
## 252.637 -5.001summary(model1.1)##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$VitaminUseNum2)
##
## Residuals:
## Min 1Q Median 3Q Max
## -209.94 -87.73 -35.94 67.77 663.07
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 252.637 19.137 13.202 <2e-16 ***
## mydata$VitaminUseNum2 -5.001 8.663 -0.577 0.564
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 132.1 on 313 degrees of freedom
## Multiple R-squared: 0.001063, Adjusted R-squared: -0.002128
## F-statistic: 0.3332 on 1 and 313 DF, p-value: 0.5642mydata$vitReg <- ifelse(mydata$VitaminUse == 'Regular', 1, 0)
mydata$vitOcc <- ifelse(mydata$VitaminUse == 'Occasional', 1, 0)
mydata$vitNo <- ifelse(mydata$VitaminUse == 'No',1,0)
mydata## ID Age Smoke Quetelet Calories Fat Fiber Alcohol Cholesterol BetaDiet
## 1 1 64 No 21.4838 1298.8 57.0 6.3 0.0 170.3 1945
## 2 2 76 No 23.8763 1032.5 50.1 15.8 0.0 75.8 2653
## 3 3 38 No 20.0108 2372.3 83.6 19.1 14.1 257.9 6321
## 4 4 40 No 25.1406 2449.5 97.5 26.5 0.5 332.6 1061
## 5 5 72 No 20.9850 1952.1 82.6 16.2 0.0 170.8 2863
## 6 6 40 No 27.5214 1366.9 56.0 9.6 1.3 154.6 1729
## 7 7 65 No 22.0115 2213.9 52.0 28.7 0.0 255.1 5371
## 8 8 58 No 28.7570 1595.6 63.4 10.9 0.0 214.1 823
## 9 9 35 No 23.0766 1800.5 57.8 20.3 0.6 233.6 2895
## 10 10 55 No 34.9699 1263.6 39.6 15.5 0.0 171.9 3307
## 11 11 66 No 20.9465 1460.8 58.0 18.2 1.0 137.4 1714
## 12 12 40 No 36.4316 1638.2 49.3 14.9 0.0 130.7 2031
## 13 13 57 No 31.7304 2072.9 106.7 9.6 0.9 420.0 1982
## 14 14 66 No 21.7885 987.5 35.6 10.3 0.0 254.9 2120
## 15 15 66 No 27.3192 1574.3 75.0 7.1 0.0 361.5 1388
## 16 16 64 No 31.4467 2868.5 128.8 15.0 20.0 379.5 3888
## 17 17 62 No 25.9025 1751.1 80.7 8.4 14.1 160.3 2194
## 18 18 75 No 29.1526 1407.6 35.0 20.8 7.0 144.1 3470
## 19 19 68 No 38.1873 1628.5 78.6 11.6 0.0 512.3 2108
## 20 20 57 No 25.8967 1101.4 48.5 8.5 5.0 197.2 1157
## 21 21 56 No 24.4588 2433.6 127.6 19.9 7.1 271.2 1739
## 22 22 30 No 22.7212 1437.3 61.5 8.8 2.3 160.9 1008
## 23 23 34 No 24.0812 2062.7 81.1 13.6 18.0 190.5 606
## 24 24 53 No 23.1598 1276.5 50.1 9.0 4.7 143.5 1380
## 25 25 60 No 49.1203 2114.8 77.6 14.9 0.5 239.9 4916
## 26 26 50 No 23.0766 1113.0 32.8 12.9 3.0 104.8 4451
## 27 27 62 No 33.7244 1323.0 60.8 11.4 0.0 155.8 5983
## 28 28 61 No 25.1827 2837.3 84.2 33.8 0.0 192.1 2413
## 29 29 65 No 28.9498 2055.9 111.8 15.9 0.0 226.5 3087
## 30 30 71 No 24.6800 1285.8 55.4 10.6 2.0 353.4 521
## 31 31 43 No 28.4015 1786.9 93.9 10.6 0.0 247.0 2431
## 32 32 33 No 20.5696 3144.8 155.0 17.6 4.1 308.8 3141
## 33 33 74 Yes 16.3311 1241.0 53.1 10.8 0.1 206.1 1668
## 34 34 41 No 21.0312 2419.3 122.7 16.2 0.3 325.2 4366
## 35 35 56 No 22.6438 2712.7 145.3 13.4 8.0 242.6 494
## 36 36 44 Yes 25.8787 1810.0 95.3 17.5 0.0 253.1 7026
## 37 37 37 No 35.3601 1778.1 75.9 10.8 0.5 332.6 1529
## 38 38 37 No 25.9400 1147.9 47.6 7.3 0.1 117.0 241
## 39 39 39 Yes 21.9991 1951.4 109.1 4.7 0.0 461.1 998
## 40 40 37 No 22.5121 2035.5 65.7 22.1 0.7 205.3 6082
## 41 41 53 No 27.4927 1248.6 56.9 8.2 0.0 223.2 2741
## 42 42 66 No 27.4961 3184.8 199.0 16.8 0.2 362.6 2100
## 43 43 58 No 24.1797 1538.1 78.7 14.2 0.9 231.2 2359
## 44 44 31 Yes 23.3459 1456.5 56.6 8.5 1.0 182.7 603
## 45 45 49 No 21.6784 1656.3 59.5 13.3 0.1 180.3 1625
## 46 46 75 No 21.3291 1396.8 53.3 13.2 3.2 99.3 2888
## 47 47 62 No 33.7442 1588.1 88.9 7.4 0.0 362.6 1099
## 48 48 56 No 32.0748 1566.5 95.2 6.5 7.2 408.0 2103
## 49 49 69 No 31.6684 827.9 32.8 8.7 0.0 79.8 2260
## 50 50 50 Yes 25.1119 2340.4 110.4 11.3 14.0 260.7 452
## 51 51 50 No 20.4034 1902.9 72.9 35.4 7.3 175.6 3549
## 52 52 72 No 39.2229 1111.9 47.2 10.2 0.2 69.4 2204
## 53 53 60 No 19.9326 1333.8 37.1 16.9 6.5 84.0 4964
## 54 54 55 No 21.6362 1896.1 82.2 9.3 10.0 296.8 1052
## 55 55 43 No 29.0047 1472.7 61.8 12.2 0.0 216.3 3572
## 56 56 29 No 18.8340 2237.4 77.6 22.6 0.7 180.6 2902
## 57 57 44 Yes 29.1135 1446.2 63.2 9.5 3.2 208.8 1788
## 58 58 48 No 32.3483 2908.5 139.1 16.4 0.2 511.6 5111
## 59 59 38 No 23.8573 2190.7 96.9 17.7 1.3 192.1 1378
## 60 60 33 No 19.4090 1878.2 81.6 9.6 4.9 265.8 1431
## 61 61 56 No 16.6367 1436.8 57.2 9.4 0.0 183.3 1727
## 62 62 65 Yes 23.3762 6662.2 164.3 11.3 203.0 603.0 2893
## 63 63 48 No 30.2950 2893.3 125.8 18.8 1.7 256.7 2524
## 64 64 66 No 22.5743 1902.4 76.7 17.7 3.1 216.7 2533
## 65 65 78 No 26.3675 1531.6 69.5 5.4 0.0 168.0 982
## 66 66 65 No 23.5424 1220.7 34.6 16.5 5.6 152.8 1535
## 67 67 72 No 22.0119 1247.7 46.8 10.2 0.0 347.9 326
## 68 68 31 Yes 21.0778 1631.5 75.2 8.5 0.7 277.1 1487
## 69 69 74 No 25.7393 818.1 34.3 6.6 3.7 55.4 1114
## 70 70 61 No 25.1827 1570.1 58.7 19.3 2.0 158.3 1080
## 71 71 83 No 25.2068 1331.2 50.6 7.7 0.3 380.7 2492
## 72 72 46 No 30.7096 2052.4 120.4 10.2 0.0 195.2 1349
## 73 73 62 No 23.9217 1823.0 80.3 17.4 6.2 256.8 6948
## 74 74 56 Yes 20.6410 1743.8 85.3 13.2 7.2 349.6 1086
## 75 75 33 No 26.6369 3457.2 166.0 17.5 10.5 452.8 2629
## 76 76 45 No 22.3611 1126.7 20.4 12.5 7.2 71.8 1307
## 77 77 41 No 23.0939 3258.3 101.2 26.2 0.5 341.7 1306
## 78 78 73 No 24.6800 2833.7 119.9 14.6 18.2 365.0 3465
## 79 79 31 No 21.3314 2264.3 105.5 13.4 3.2 396.5 1846
## 80 80 50 No 25.1199 2026.0 85.5 11.2 21.0 268.2 1334
## 81 81 65 No 28.4020 1747.6 83.6 10.9 0.0 244.8 4848
## 82 82 35 Yes 21.8340 1575.5 53.9 7.0 1.0 216.2 1734
## 83 83 42 No 29.0357 1785.4 94.1 10.0 0.7 288.0 1120
## 84 84 19 No 29.2415 2558.9 116.1 12.3 0.0 324.5 1498
## 85 85 37 No 19.9861 839.0 29.2 4.7 6.4 66.5 330
## 86 86 44 No 24.0812 2391.3 95.4 20.6 0.0 283.3 5909
## 87 87 36 No 23.3459 1887.4 110.2 6.0 0.1 211.7 3326
## 88 88 53 Yes 25.1406 2798.2 125.9 17.7 7.0 239.0 2110
## 89 89 69 Yes 27.2289 2654.9 126.0 23.3 0.0 248.0 2719
## 90 90 74 No 27.9862 1202.0 46.6 11.4 0.0 59.2 2309
## 91 91 70 No 22.5331 1235.9 51.1 9.6 3.0 142.0 1153
## 92 92 56 No 26.3173 2225.1 111.5 10.4 6.8 283.7 1432
## 93 93 77 No 27.7905 866.9 31.0 9.8 0.2 59.7 2493
## 94 94 73 No 24.4172 1666.8 76.5 13.3 0.0 747.5 3054
## 95 95 43 No 23.0381 3711.0 202.7 14.9 18.0 469.2 1861
## 96 96 41 No 23.6169 1055.0 33.2 12.9 0.9 220.0 4268
## 97 97 22 No 27.0053 2733.0 123.8 5.1 0.3 440.3 1652
## 98 98 44 No 23.4605 1660.1 80.3 13.6 0.1 89.0 1802
## 99 99 51 No 25.1571 1952.7 63.8 17.9 11.0 201.3 2308
## 100 100 46 Yes 35.2597 2667.5 131.6 10.1 0.0 550.5 1210
## 101 101 25 Yes 20.6410 1517.4 59.1 5.9 0.0 127.6 214
## 102 102 69 No 23.0056 1711.4 98.2 10.8 0.3 332.4 1370
## 103 103 69 No 25.2317 1756.4 82.3 8.8 0.0 500.3 2354
## 104 104 58 No 27.3369 2186.2 99.3 14.9 0.2 263.8 2446
## 105 105 77 No 25.8813 2075.2 75.6 21.4 0.0 228.8 3473
## 106 106 67 No 24.7353 2021.2 94.8 13.3 8.0 417.6 3359
## 107 107 37 No 29.3256 1653.2 77.3 12.5 1.0 162.6 1062
## 108 108 47 No 21.1882 1076.6 33.4 22.5 4.1 138.8 1489
## 109 109 60 Yes 19.6773 1506.7 76.3 14.6 0.0 239.2 3982
## 110 110 49 No 25.0700 1511.7 54.4 16.1 4.2 200.5 1656
## 111 111 83 No 25.5977 1933.6 98.8 11.1 0.0 224.7 768
## 112 112 56 No 22.0119 1830.0 52.8 13.8 8.5 689.4 1496
## 113 113 39 No 30.2913 1256.7 43.7 5.3 0.3 133.6 683
## 114 114 41 No 41.8559 1823.7 54.7 14.6 0.0 188.0 885
## 115 115 37 Yes 28.3357 1902.8 81.7 8.2 0.0 178.6 1662
## 116 116 66 No 26.5081 958.5 37.7 8.3 0.0 108.6 1552
## 117 117 55 No 21.0778 2328.3 112.6 13.9 2.9 281.9 2144
## 118 118 49 No 39.4650 1574.0 74.6 14.1 0.0 440.6 3567
## 119 119 31 No 18.9836 1646.2 52.2 13.2 5.0 174.9 1423
## 120 120 64 No 18.8783 1828.0 63.4 14.7 0.0 87.9 1293
## 121 121 57 No 23.2212 1288.7 63.2 10.6 0.0 200.2 2111
## 122 122 42 Yes 26.8491 1084.3 25.2 21.8 1.0 105.7 2874
## 123 123 40 No 25.8813 2431.9 93.7 17.8 0.1 364.6 1699
## 124 124 73 Yes 19.4090 2453.5 118.5 10.3 0.0 516.5 954
## 125 125 37 No 19.5708 1645.7 76.0 6.6 4.0 225.9 1368
## 126 126 43 No 20.2970 2075.9 96.5 17.3 7.0 271.8 3318
## 127 127 66 No 26.4205 1563.7 73.3 12.0 1.1 300.9 2247
## 128 128 26 No 20.3795 1663.3 64.6 7.6 2.0 124.7 910
## 129 129 45 No 29.2415 1601.4 93.9 8.8 0.0 255.8 1171
## 130 130 74 No 30.2950 1718.9 57.9 15.0 1.2 272.7 2077
## 131 131 49 No 21.4790 1010.6 29.4 9.1 6.2 98.8 1210
## 132 132 41 No 19.4090 1372.7 61.6 9.5 0.0 182.5 1826
## 133 133 74 No 27.3192 1837.0 76.9 13.6 0.0 383.6 2628
## 134 134 38 Yes 21.8451 1662.7 58.7 15.7 3.7 163.7 561
## 135 135 83 No 22.2224 1534.7 54.9 26.3 0.0 77.5 1893
## 136 136 70 No 28.0470 2005.8 89.5 8.5 0.1 121.2 1312
## 137 137 39 No 26.0943 1187.8 32.8 11.6 0.0 154.9 1913
## 138 138 65 No 21.5851 1446.2 56.8 10.8 0.0 127.9 924
## 139 139 72 No 21.0312 976.7 68.4 3.1 0.0 99.6 728
## 140 140 46 No 23.6773 2706.7 104.9 16.8 22.0 416.0 4387
## 141 141 46 No 30.0587 1546.0 73.6 10.3 7.0 284.8 1976
## 142 142 51 No 34.1851 1324.0 46.0 12.7 0.0 151.0 2422
## 143 143 39 No 24.0812 1368.9 61.6 14.4 6.7 314.9 1407
## 144 144 33 Yes 20.1613 3228.0 141.1 14.4 0.0 718.8 1301
## 145 145 49 No 31.7263 2825.8 97.8 7.5 35.0 374.3 1112
## 146 146 44 No 23.3932 1220.9 35.1 14.0 0.0 99.2 1052
## 147 147 69 No 24.2613 1174.7 47.4 9.9 0.1 89.9 1008
## 148 148 52 No 27.8335 828.2 52.3 6.1 1.2 141.1 1054
## 149 149 82 No 20.2177 1708.1 94.2 15.1 2.0 224.7 1484
## 150 150 46 No 23.4786 1182.9 60.2 5.2 0.2 164.5 657
## 151 151 25 No 22.7051 928.4 29.7 6.0 0.5 120.7 604
## 152 152 54 No 37.8687 4373.6 235.9 22.9 0.1 814.7 2912
## 153 153 70 No 25.7393 1387.7 55.2 11.2 0.0 114.0 869
## 154 154 35 No 18.4385 1555.6 72.8 11.5 0.0 174.1 1578
## 155 155 46 No 33.1948 1581.7 64.1 12.3 0.1 170.1 1210
## 156 156 70 No 29.5966 1397.4 60.5 9.2 0.0 228.5 1554
## 157 157 71 No 22.1532 1305.4 43.3 10.2 0.0 72.7 3445
## 158 158 59 No 26.8868 1249.6 24.2 14.7 0.0 97.2 3014
## 159 159 42 No 20.5412 2347.3 104.4 12.5 0.0 249.3 1666
## 160 160 46 No 39.4062 1207.1 42.8 11.6 0.0 155.1 1462
## 161 161 37 No 33.3723 1688.1 45.0 17.1 0.8 141.1 1272
## 162 162 39 No 21.9409 1719.3 49.7 18.4 11.0 164.6 5296
## 163 163 43 No 25.5828 2501.6 121.1 19.5 0.0 343.0 5605
## 164 164 23 No 20.1259 2219.1 120.9 13.1 2.0 415.8 2430
## 165 165 45 No 20.2398 1827.7 71.2 10.4 2.0 267.5 2375
## 166 166 63 No 23.9217 1282.3 26.4 13.6 0.1 100.6 3753
## 167 167 44 Yes 28.3486 1427.2 60.6 8.3 0.2 195.0 695
## 168 168 43 No 20.4034 2000.8 86.7 14.8 0.9 200.9 1649
## 169 169 33 No 27.8695 1622.4 71.5 12.9 1.0 214.8 2317
## 170 170 35 No 34.0818 3114.0 160.2 14.9 0.2 432.3 1702
## 171 171 50 No 23.0716 2012.0 112.9 14.3 6.5 456.9 1007
## 172 172 50 No 29.0157 2106.4 97.0 12.9 0.0 344.3 2308
## 173 173 59 No 25.5977 1546.6 72.9 15.1 0.7 192.8 4694
## 174 174 38 No 23.0766 1149.0 43.6 8.6 10.5 122.5 2749
## 175 175 60 No 29.7475 659.3 22.2 7.0 0.1 102.0 1497
## 176 176 54 No 19.1770 1580.6 82.9 9.4 5.2 98.3 1171
## 177 177 71 No 24.4634 1850.5 75.9 16.1 7.2 247.9 3054
## 178 178 48 No 22.5319 1242.1 37.5 13.3 1.0 148.4 1488
## 179 179 49 No 32.0177 1099.4 56.9 5.2 0.5 169.9 829
## 180 180 27 Yes 29.2415 1127.6 59.4 7.4 0.0 183.4 1037
## 181 181 27 Yes 25.4454 2919.5 125.3 14.3 1.0 370.0 846
## 182 182 75 No 21.5278 1049.1 51.7 8.0 0.0 188.9 1382
## 183 183 45 No 26.4205 1366.6 42.5 12.9 2.5 141.2 3407
## 184 184 35 No 30.4455 1884.8 91.6 11.1 5.0 518.0 758
## 185 185 56 No 33.5921 1494.5 59.1 6.8 0.0 111.5 599
## 186 186 41 Yes 27.5214 1444.6 89.1 6.8 0.0 280.1 1073
## 187 187 48 No 32.9913 445.2 14.4 5.0 0.0 102.8 862
## 188 188 48 No 21.8351 1849.8 80.6 13.8 3.2 549.1 4291
## 189 189 32 No 20.1579 1678.2 54.3 12.9 1.5 147.3 1668
## 190 190 38 No 46.7376 1390.4 55.7 10.8 0.0 195.1 2809
## 191 191 52 No 33.2962 1749.9 81.3 12.1 0.0 226.5 2373
## 192 192 40 No 24.0103 742.3 36.5 5.9 2.1 133.9 1850
## 193 193 44 No 23.0716 1148.5 50.3 7.1 0.1 139.2 1352
## 194 194 70 No 22.4821 1730.6 72.9 14.4 0.2 363.1 2315
## 195 195 55 Yes 29.0357 1162.5 54.0 5.6 0.2 175.2 1417
## 196 196 48 No 20.2177 1738.9 63.5 12.2 0.5 205.9 4504
## 197 197 38 No 20.7176 1432.1 58.5 6.3 0.2 131.9 998
## 198 198 49 No 20.4034 3098.9 106.2 25.2 1.2 447.6 4430
## 199 199 36 No 32.9594 2342.3 95.8 19.2 1.7 389.4 3201
## 200 200 64 No 21.5011 2319.9 97.6 22.3 0.0 155.3 3686
## 201 201 49 No 23.6794 1292.8 43.1 10.6 11.0 180.7 2131
## 202 202 49 Yes 22.7216 784.4 40.6 4.9 3.0 97.4 852
## 203 203 43 No 22.9146 2038.5 80.7 17.1 0.0 232.3 2781
## 204 204 33 No 23.9378 1366.8 55.9 6.2 0.0 196.0 1151
## 205 205 38 No 26.0943 1550.0 66.8 12.1 0.0 253.2 3970
## 206 206 36 No 19.7664 1240.7 50.9 6.9 0.3 116.0 808
## 207 207 33 No 21.6734 2814.6 111.2 16.8 0.0 399.3 843
## 208 208 47 No 20.8130 1612.5 45.5 9.0 15.0 149.9 2537
## 209 209 53 No 40.6892 1576.3 54.8 13.5 0.1 308.9 2205
## 210 210 41 No 29.1423 1197.7 54.5 4.9 0.0 135.6 587
## 211 211 36 No 21.0778 2045.3 84.8 13.2 0.7 271.9 3591
## 212 212 32 No 35.9753 3328.4 163.3 20.0 4.1 425.5 3434
## 213 213 57 No 26.9429 2513.3 98.9 10.6 0.0 428.1 2869
## 214 214 42 No 21.6784 1737.4 62.1 16.3 0.2 211.7 2515
## 215 215 37 Yes 27.2655 1034.4 34.5 8.9 0.0 118.5 807
## 216 216 52 No 32.6718 2083.9 93.1 8.8 0.0 328.1 766
## 217 217 45 Yes 28.7254 1481.8 75.3 10.4 0.2 336.9 720
## 218 218 42 No 20.7690 1051.2 44.0 10.9 0.2 165.5 516
## 219 219 42 No 21.2065 1730.1 58.3 16.6 4.5 196.1 3785
## 220 220 41 Yes 20.7176 1102.8 56.6 5.3 0.0 329.8 1436
## 221 221 41 No 26.3117 1496.7 64.6 5.9 1.0 239.8 613
## 222 222 26 Yes 20.5412 1987.2 76.6 9.8 0.0 156.1 1460
## 223 223 70 No 20.1613 2017.2 136.0 7.6 0.0 195.8 2251
## 224 224 44 No 26.3675 1525.6 85.4 7.9 0.1 179.4 2029
## 225 225 46 No 28.4020 1342.2 69.7 5.9 1.0 215.4 8046
## 226 226 22 No 50.4033 1511.7 64.4 10.2 0.0 190.3 1074
## 227 227 46 Yes 21.6784 1570.1 74.1 13.7 0.9 145.7 3556
## 228 228 32 No 20.0560 2703.4 120.6 11.4 0.1 284.3 1218
## 229 229 27 No 23.8763 1200.6 61.5 8.7 1.5 208.7 2199
## 230 230 52 No 37.1113 1891.6 73.8 17.6 0.0 226.0 5810
## 231 231 42 No 36.5973 1434.9 59.3 11.2 0.0 281.1 1214
## 232 232 34 No 28.5795 2118.1 93.0 20.1 0.0 170.0 2215
## 233 233 36 No 40.2953 1414.6 51.2 13.7 0.0 135.8 1678
## 234 234 59 No 24.8040 2192.3 78.7 14.2 0.0 173.5 2579
## 235 235 75 No 36.4737 1380.6 54.5 13.5 0.1 201.6 925
## 236 236 43 No 45.8581 1626.3 72.2 7.9 0.0 157.5 404
## 237 237 56 No 30.4824 2210.7 113.1 10.5 6.1 340.1 2008
## 238 238 48 No 19.7039 1600.7 77.7 11.2 7.2 180.1 2469
## 239 239 34 Yes 21.9638 1076.2 52.7 6.1 0.0 78.3 755
## 240 240 37 No 23.3459 2094.5 78.9 17.3 1.0 193.4 1718
## 241 241 41 No 31.8216 1823.0 74.8 12.1 1.3 196.9 2133
## 242 242 74 No 23.3459 1512.1 73.8 8.7 5.7 182.8 1167
## 243 243 73 No 21.0113 840.6 34.3 8.2 0.1 81.1 619
## 244 244 53 Yes 19.7810 1996.1 98.8 9.2 0.0 436.8 908
## 245 245 74 No 21.1364 2171.6 76.6 20.4 0.0 176.3 3690
## 246 246 77 No 24.3272 1481.4 55.0 11.2 0.0 191.7 3425
## 247 247 39 No 21.1781 1829.2 79.0 15.6 0.0 178.4 2787
## 248 248 29 No 18.6003 1041.6 45.4 6.0 3.0 139.5 675
## 249 249 37 No 44.9106 2010.4 101.2 16.0 0.1 362.4 2142
## 250 250 47 No 23.9642 2120.8 77.4 17.0 8.4 185.9 2299
## 251 251 64 No 21.2065 1008.4 35.4 5.6 14.0 37.7 544
## 252 252 36 No 42.8886 798.2 30.6 7.9 2.4 46.3 604
## 253 253 42 No 20.4172 3099.2 134.9 19.0 0.8 469.3 6558
## 254 254 64 No 25.6599 2055.7 114.4 13.0 0.0 248.4 2661
## 255 255 38 No 20.7029 2585.3 129.8 21.1 4.0 429.5 7362
## 256 256 39 No 28.4015 1906.5 86.4 10.4 15.5 265.9 2583
## 257 257 40 No 31.2422 3014.9 165.7 14.4 0.0 900.7 1028
## 258 258 29 No 37.9400 1631.0 55.6 13.8 0.5 189.5 3435
## 259 259 71 No 24.9883 1399.5 66.5 9.6 8.0 260.0 1527
## 260 260 45 No 23.4316 2319.0 122.1 13.4 0.1 305.7 2047
## 261 261 63 No 18.9209 1655.9 70.8 15.1 0.1 177.3 2897
## 262 262 46 No 24.2613 1422.8 58.3 7.8 7.1 206.3 1987
## 263 263 75 No 21.6784 2511.5 92.3 36.8 0.6 228.3 4271
## 264 264 46 No 35.1907 740.6 38.5 5.3 0.0 113.9 868
## 265 265 44 No 22.5440 1292.6 49.4 10.4 1.2 186.5 578
## 266 266 24 No 31.9972 3021.9 171.0 11.4 0.1 466.3 953
## 267 267 32 No 22.5121 1918.4 63.1 16.1 5.0 202.2 1048
## 268 268 66 No 22.6438 2086.6 72.3 16.0 0.0 112.8 1439
## 269 269 43 No 26.3475 3449.7 172.8 20.5 1.4 381.3 3324
## 270 270 73 No 24.9412 1186.4 46.1 10.5 1.5 119.7 921
## 271 271 54 No 25.7501 1724.7 75.1 18.2 0.0 173.3 1192
## 272 272 44 Yes 29.9774 1877.4 92.2 7.7 0.2 211.6 1665
## 273 273 55 No 22.8771 2272.6 94.5 10.9 14.2 269.2 3610
## 274 274 70 Yes 23.8270 1514.4 51.7 14.2 7.0 97.5 3317
## 275 275 32 No 25.4573 2170.3 95.1 15.2 0.2 175.2 3313
## 276 276 33 No 23.2690 2271.1 114.6 10.4 0.0 574.2 1270
## 277 277 49 No 22.5064 1469.9 50.4 12.1 0.7 118.8 1915
## 278 278 69 No 44.2062 2332.2 109.6 19.7 0.1 286.7 4013
## 279 279 38 No 20.7173 1619.3 83.7 8.4 0.5 310.1 902
## 280 280 34 Yes 34.0818 1148.7 41.7 9.8 1.0 173.4 2247
## 281 281 49 No 20.0895 2512.0 64.9 30.2 0.6 168.5 4832
## 282 282 40 Yes 18.3432 833.0 38.8 5.5 0.0 145.3 577
## 283 283 41 No 28.0470 1808.4 61.5 10.5 17.0 176.1 1884
## 284 284 62 No 29.8494 2115.4 84.1 23.9 0.0 189.5 3172
## 285 285 28 No 20.1250 1600.9 68.0 14.2 0.2 171.2 3102
## 286 286 78 No 41.6857 647.7 30.9 3.7 0.0 87.5 1186
## 287 287 67 No 30.7309 849.2 25.4 10.9 0.0 91.7 1237
## 288 288 51 No 24.9082 2166.9 105.8 15.6 0.0 349.1 4098
## 289 289 29 Yes 26.6874 2476.2 121.1 14.3 0.0 263.5 2889
## 290 290 36 Yes 25.7393 1959.3 112.4 6.7 0.5 326.7 1097
## 291 291 43 No 18.5769 1695.3 62.4 17.7 0.0 147.3 570
## 292 292 55 No 25.4258 2307.8 111.0 18.4 3.4 487.8 2627
## 293 293 54 No 24.9550 1392.2 47.8 12.9 0.0 87.5 849
## 294 294 32 No 39.5620 3511.1 114.7 13.9 0.2 444.7 2174
## 295 295 65 No 26.7596 1276.0 60.5 12.0 3.5 87.3 1456
## 296 296 41 Yes 41.6495 2685.1 133.1 11.1 15.0 432.4 3728
## 297 297 60 No 40.6953 1327.0 64.8 9.3 0.1 341.0 1987
## 298 298 73 No 25.8473 853.1 29.8 6.3 10.0 160.5 1022
## 299 299 71 No 21.8109 1215.8 43.8 12.3 5.0 110.8 2079
## 300 300 47 No 37.2776 1927.6 92.5 10.7 0.0 359.1 406
## 301 301 35 No 29.5855 2466.9 112.6 9.6 0.1 331.9 621
## 302 302 34 Yes 21.3291 3103.7 124.7 18.1 8.3 431.0 2652
## 303 303 41 No 34.6149 2046.9 103.0 13.1 0.0 334.2 1745
## 304 304 33 No 18.5769 1835.9 74.1 23.0 0.7 184.2 2121
## 305 305 73 Yes 20.7112 1678.5 82.3 6.3 14.1 249.5 1078
## 306 306 67 No 26.9429 1049.2 44.6 9.6 0.0 247.2 2672
## 307 307 66 No 33.1076 1762.1 72.9 16.5 0.0 240.3 4935
## 308 308 44 Yes 23.2772 3183.1 119.4 6.9 35.0 378.8 1118
## 309 309 36 No 24.7434 2838.8 88.5 24.0 4.5 252.4 9642
## 310 310 48 No 24.6147 2021.1 72.2 16.6 9.0 299.1 1392
## 311 311 46 No 25.8967 2263.6 98.2 19.4 2.6 306.5 2572
## 312 312 45 No 23.8270 1841.1 84.2 14.1 2.2 257.7 1665
## 313 313 49 No 24.2613 1125.6 44.8 11.9 4.0 150.5 6943
## 314 314 31 No 23.4525 2729.6 144.4 13.2 2.2 381.8 741
## 315 315 45 No 26.5081 1627.0 77.4 9.9 0.2 195.6 1242
## RetinolDiet BetaPlasma RetinolPlasma Gender VitaminUse PriorSmoke
## 1 890 200 915 Female Regular 2
## 2 451 124 727 Female Regular 1
## 3 660 328 721 Female Occasional 2
## 4 864 153 615 Female No 2
## 5 1209 92 799 Female Regular 1
## 6 1439 148 654 Female No 2
## 7 802 258 834 Female Occasional 1
## 8 2571 64 825 Female Regular 1
## 9 944 218 517 Female No 1
## 10 493 81 562 Female No 2
## 11 535 184 935 Female Regular 2
## 12 492 91 741 Female Occasional 1
## 13 1105 120 679 Male No 1
## 14 1047 61 507 Female Regular 1
## 15 980 108 852 Male No 1
## 16 1545 211 1249 Male No 2
## 17 242 235 1035 Male Regular 2
## 18 479 288 1262 Male Regular 2
## 19 921 102 904 Female No 1
## 20 445 113 1727 Male No 2
## 21 926 74 684 Male No 2
## 22 695 129 537 Female No 2
## 23 944 140 760 Female No 1
## 24 708 138 809 Female Occasional 2
## 25 1150 143 697 Female Regular 1
## 26 554 416 676 Female Regular 1
## 27 320 212 822 Female Occasional 2
## 28 656 786 691 Female Regular 1
## 29 1199 35 599 Male No 1
## 30 975 122 901 Male No 2
## 31 914 119 818 Female No 2
## 32 1579 182 623 Female Occasional 2
## 33 1618 186 624 Female No 3
## 34 1759 216 526 Female No 1
## 35 608 751 1002 Male Occasional 2
## 36 508 39 179 Female Regular 3
## 37 517 107 564 Female Occasional 2
## 38 314 74 456 Female No 2
## 39 588 418 665 Male Regular 3
## 40 674 1415 632 Female Regular 1
## 41 419 400 502 Female No 1
## 42 1083 102 838 Female No 2
## 43 834 135 574 Female Occasional 2
## 44 473 97 611 Female Occasional 3
## 45 707 124 476 Female Occasional 1
## 46 323 195 546 Female Regular 1
## 47 651 107 411 Female Regular 1
## 48 855 53 475 Female No 1
## 49 264 148 321 Male Regular 2
## 50 550 77 388 Female No 3
## 51 969 316 586 Female No 1
## 52 239 77 648 Female Regular 1
## 53 374 266 550 Female Occasional 1
## 54 605 39 783 Male No 2
## 55 809 225 258 Female Regular 1
## 56 1065 173 299 Female Regular 1
## 57 677 79 384 Female Occasional 3
## 58 1359 102 692 Female Regular 2
## 59 685 158 634 Female Occasional 1
## 60 724 159 592 Female Occasional 1
## 61 898 157 383 Female Regular 1
## 62 1364 96 317 Male No 3
## 63 1250 160 247 Female Regular 1
## 64 592 100 730 Male Regular 2
## 65 854 293 587 Female Regular 2
## 66 493 171 407 Male No 1
## 67 407 89 831 Female No 2
## 68 1120 109 531 Female Occasional 3
## 69 453 129 560 Female No 2
## 70 724 87 397 Female No 1
## 71 1310 328 768 Female Occasional 1
## 72 860 298 393 Female Occasional 2
## 73 417 379 810 Female Regular 2
## 74 464 204 624 Female No 3
## 75 1470 75 227 Male Regular 1
## 76 178 127 525 Female No 2
## 77 1163 131 542 Female Regular 2
## 78 743 21 558 Male No 2
## 79 760 233 504 Female Occasional 2
## 80 486 73 1031 Male Regular 1
## 81 1005 25 187 Female No 1
## 82 1215 137 677 Female Regular 3
## 83 619 82 783 Male Regular 2
## 84 1066 327 693 Female Regular 1
## 85 394 142 511 Female Regular 1
## 86 1702 86 435 Female Regular 2
## 87 928 150 362 Female No 2
## 88 1458 53 592 Male No 3
## 89 1323 112 360 Male No 3
## 90 578 104 476 Female Regular 1
## 91 1048 170 369 Female Regular 1
## 92 1006 150 619 Female No 2
## 93 640 282 472 Female Regular 1
## 94 4041 91 426 Male Regular 2
## 95 783 125 592 Female Regular 2
## 96 341 282 426 Male Occasional 1
## 97 1525 16 799 Female Regular 2
## 98 233 129 497 Female Regular 2
## 99 1838 180 622 Female No 2
## 100 1291 39 549 Male No 3
## 101 914 54 539 Female Regular 3
## 102 695 78 522 Male Occasional 2
## 103 842 34 551 Male No 2
## 104 881 95 466 Female Occasional 1
## 105 1326 174 423 Male Occasional 1
## 106 1060 95 797 Male No 2
## 107 1070 97 532 Female Occasional 2
## 108 490 204 422 Female Occasional 2
## 109 350 25 421 Female No 3
## 110 652 270 527 Female Occasional 2
## 111 719 285 512 Male Regular 2
## 112 546 110 756 Female Regular 1
## 113 627 162 456 Female No 1
## 114 687 179 456 Female Occasional 1
## 115 779 131 449 Female No 3
## 116 326 86 406 Female No 1
## 117 815 225 519 Female Occasional 1
## 118 963 249 464 Female Regular 2
## 119 1845 254 523 Female Regular 2
## 120 1101 189 588 Female Regular 1
## 121 950 108 564 Female Regular 1
## 122 159 121 927 Female Regular 3
## 123 2263 238 953 Male Regular 2
## 124 1328 127 516 Male No 3
## 125 427 141 669 Female Occasional 1
## 126 651 427 572 Female No 1
## 127 728 305 727 Female Occasional 1
## 128 605 74 544 Female No 1
## 129 453 156 917 Female Regular 2
## 130 1374 168 586 Female Occasional 1
## 131 555 116 516 Female No 1
## 132 386 290 404 Female Regular 2
## 133 966 304 709 Male No 1
## 134 947 198 429 Female No 3
## 135 426 253 629 Male Regular 1
## 136 688 148 1139 Female Regular 1
## 137 1048 492 466 Female Occasional 2
## 138 684 156 372 Female Regular 1
## 139 797 27 558 Female Regular 2
## 140 926 52 476 Male No 2
## 141 417 210 418 Female No 1
## 142 208 83 564 Female No 1
## 143 1335 182 431 Female Regular 1
## 144 307 40 485 Female No 3
## 145 735 69 733 Male No 2
## 146 441 172 402 Female No 1
## 147 783 253 760 Female No 1
## 148 366 435 659 Female No 2
## 149 790 429 599 Female Regular 1
## 150 441 326 495 Female No 1
## 151 432 75 436 Female Occasional 1
## 152 2104 121 416 Female Regular 1
## 153 1595 292 701 Female Occasional 1
## 154 689 207 553 Female Occasional 1
## 155 795 118 652 Female Occasional 1
## 156 675 108 621 Male No 1
## 157 1015 385 617 Female Regular 2
## 158 1340 408 784 Female Regular 1
## 159 859 97 352 Female Regular 1
## 160 868 118 677 Female No 1
## 161 145 60 520 Female Regular 2
## 162 554 357 474 Female Occasional 2
## 163 858 858 643 Female Regular 2
## 164 746 104 400 Female Regular 1
## 165 1284 219 627 Female Regular 2
## 166 649 296 701 Female Regular 1
## 167 270 164 566 Female Occasional 3
## 168 751 487 453 Female Regular 1
## 169 437 70 428 Female No 2
## 170 1224 43 434 Female No 2
## 171 6901 274 592 Female No 1
## 172 982 231 413 Female Occasional 2
## 173 864 346 849 Female Regular 2
## 174 329 181 727 Female No 2
## 175 244 116 700 Female No 2
## 176 465 391 499 Female Regular 2
## 177 629 85 853 Male No 2
## 178 706 800 532 Female Regular 2
## 179 887 286 561 Female Regular 1
## 180 239 87 378 Female No 3
## 181 2118 74 419 Female Occasional 3
## 182 222 460 694 Female Regular 1
## 183 532 154 437 Female Occasional 1
## 184 454 206 657 Female No 1
## 185 845 19 396 Female Regular 2
## 186 486 168 569 Female Occasional 3
## 187 160 108 493 Female Regular 1
## 188 661 274 344 Female Regular 1
## 189 666 120 620 Female Occasional 2
## 190 482 53 277 Female Occasional 1
## 191 1816 105 464 Female Occasional 1
## 192 309 159 542 Female No 1
## 193 455 83 824 Female No 1
## 194 1196 425 602 Female Regular 1
## 195 451 99 670 Female No 3
## 196 294 159 569 Female Regular 1
## 197 699 111 443 Female No 2
## 198 632 316 399 Female Regular 1
## 199 1574 105 489 Female Occasional 2
## 200 523 317 491 Female Regular 1
## 201 227 372 1443 Female Occasional 2
## 202 311 116 602 Female Regular 3
## 203 757 229 748 Female Occasional 1
## 204 498 51 602 Female Occasional 1
## 205 390 286 502 Female Regular 1
## 206 349 110 527 Female Occasional 1
## 207 1616 143 470 Female Occasional 2
## 208 295 1212 566 Female Regular 2
## 209 824 174 491 Female Regular 1
## 210 215 86 663 Female Regular 1
## 211 1178 132 526 Female Regular 1
## 212 2167 58 556 Female Occasional 2
## 213 741 77 394 Female Regular 2
## 214 1340 237 737 Female Regular 1
## 215 141 41 573 Female Regular 3
## 216 604 103 713 Female Regular 1
## 217 701 193 777 Female Occasional 3
## 218 730 153 437 Female No 1
## 219 642 1391 609 Female Regular 1
## 220 522 89 481 Female No 3
## 221 509 84 471 Female Regular 1
## 222 322 36 296 Female Regular 3
## 223 1404 494 499 Female No 1
## 224 898 78 559 Female Regular 1
## 225 453 102 701 Female No 1
## 226 399 50 332 Female No 1
## 227 577 211 388 Female No 3
## 228 978 159 879 Female Regular 1
## 229 481 89 323 Female No 2
## 230 840 108 625 Female No 1
## 231 1119 188 614 Female Regular 1
## 232 1450 75 525 Female No 1
## 233 1307 14 432 Female Occasional 1
## 234 1026 165 734 Female Regular 2
## 235 707 143 364 Female Occasional 1
## 236 1050 241 387 Female Regular 1
## 237 638 97 709 Male No 2
## 238 538 76 561 Female No 2
## 239 417 169 418 Female No 3
## 240 1052 222 413 Female Occasional 1
## 241 728 82 506 Female Occasional 2
## 242 1169 324 628 Female Regular 1
## 243 79 146 578 Female No 1
## 244 1478 126 486 Female Occasional 3
## 245 1113 293 875 Male No 1
## 246 859 183 817 Female Regular 2
## 247 1210 170 647 Female Regular 1
## 248 403 129 820 Female Occasional 1
## 249 601 129 557 Female Occasional 1
## 250 1529 92 520 Female No 1
## 251 30 44 521 Female No 1
## 252 378 51 498 Female No 2
## 253 816 103 436 Female No 2
## 254 854 101 291 Female Occasional 2
## 255 964 372 293 Female Regular 2
## 256 632 78 600 Female Occasional 1
## 257 3061 0 254 Female Regular 1
## 258 1104 84 644 Female Regular 1
## 259 822 161 636 Female No 2
## 260 1125 331 684 Female Regular 1
## 261 505 366 535 Female No 1
## 262 608 990 584 Female Occasional 2
## 263 916 1010 473 Female Regular 1
## 264 106 236 647 Female Occasional 1
## 265 319 175 880 Female Occasional 2
## 266 1176 67 376 Female No 1
## 267 991 129 864 Female Regular 1
## 268 476 317 589 Female No 1
## 269 1558 168 510 Female Occasional 1
## 270 668 613 770 Female Regular 2
## 271 657 274 543 Female Regular 1
## 272 937 94 791 Female No 3
## 273 1825 122 537 Female No 2
## 274 766 232 516 Female No 3
## 275 1250 167 466 Female Regular 2
## 276 544 32 194 Male Occasional 1
## 277 594 128 759 Female No 2
## 278 1485 151 823 Female No 2
## 279 302 206 426 Female Occasional 1
## 280 682 75 403 Female No 3
## 281 793 447 516 Female Regular 1
## 282 444 339 560 Female Occasional 3
## 283 641 89 746 Female No 2
## 284 658 39 368 Female No 2
## 285 453 88 792 Female Occasional 1
## 286 466 114 719 Female Occasional 1
## 287 285 66 995 Female Regular 1
## 288 909 407 725 Female Occasional 1
## 289 1529 105 366 Female Occasional 3
## 290 966 140 1102 Female No 3
## 291 747 150 800 Female No 2
## 292 1627 95 854 Female Occasional 2
## 293 962 74 1517 Female Regular 1
## 294 1814 202 649 Female Occasional 1
## 295 443 133 710 Female No 1
## 296 587 63 1193 Male Regular 3
## 297 670 22 581 Female No 2
## 298 125 151 721 Female Occasional 2
## 299 597 473 946 Female Regular 1
## 300 806 58 794 Female No 1
## 301 579 87 494 Female Occasional 2
## 302 1098 113 796 Female Regular 3
## 303 445 117 738 Female No 1
## 304 426 155 444 Female Regular 2
## 305 416 41 669 Female Occasional 3
## 306 294 73 836 Female Regular 2
## 307 422 113 986 Female Occasional 1
## 308 1257 100 926 Female Occasional 3
## 309 634 265 986 Female Occasional 2
## 310 1027 144 752 Female Occasional 2
## 311 1261 164 216 Female No 2
## 312 465 80 328 Female Regular 1
## 313 520 300 502 Female Regular 1
## 314 644 121 684 Female Regular 2
## 315 554 233 826 Female Regular 1
## VitaminUseNum VitaminUseNum2 vitReg vitOcc vitNo
## 1 1 3 1 0 0
## 2 1 3 1 0 0
## 3 2 2 0 1 0
## 4 3 1 0 0 1
## 5 1 3 1 0 0
## 6 3 1 0 0 1
## 7 2 2 0 1 0
## 8 1 3 1 0 0
## 9 3 1 0 0 1
## 10 3 1 0 0 1
## 11 1 3 1 0 0
## 12 2 2 0 1 0
## 13 3 1 0 0 1
## 14 1 3 1 0 0
## 15 3 1 0 0 1
## 16 3 1 0 0 1
## 17 1 3 1 0 0
## 18 1 3 1 0 0
## 19 3 1 0 0 1
## 20 3 1 0 0 1
## 21 3 1 0 0 1
## 22 3 1 0 0 1
## 23 3 1 0 0 1
## 24 2 2 0 1 0
## 25 1 3 1 0 0
## 26 1 3 1 0 0
## 27 2 2 0 1 0
## 28 1 3 1 0 0
## 29 3 1 0 0 1
## 30 3 1 0 0 1
## 31 3 1 0 0 1
## 32 2 2 0 1 0
## 33 3 1 0 0 1
## 34 3 1 0 0 1
## 35 2 2 0 1 0
## 36 1 3 1 0 0
## 37 2 2 0 1 0
## 38 3 1 0 0 1
## 39 1 3 1 0 0
## 40 1 3 1 0 0
## 41 3 1 0 0 1
## 42 3 1 0 0 1
## 43 2 2 0 1 0
## 44 2 2 0 1 0
## 45 2 2 0 1 0
## 46 1 3 1 0 0
## 47 1 3 1 0 0
## 48 3 1 0 0 1
## 49 1 3 1 0 0
## 50 3 1 0 0 1
## 51 3 1 0 0 1
## 52 1 3 1 0 0
## 53 2 2 0 1 0
## 54 3 1 0 0 1
## 55 1 3 1 0 0
## 56 1 3 1 0 0
## 57 2 2 0 1 0
## 58 1 3 1 0 0
## 59 2 2 0 1 0
## 60 2 2 0 1 0
## 61 1 3 1 0 0
## 62 3 1 0 0 1
## 63 1 3 1 0 0
## 64 1 3 1 0 0
## 65 1 3 1 0 0
## 66 3 1 0 0 1
## 67 3 1 0 0 1
## 68 2 2 0 1 0
## 69 3 1 0 0 1
## 70 3 1 0 0 1
## 71 2 2 0 1 0
## 72 2 2 0 1 0
## 73 1 3 1 0 0
## 74 3 1 0 0 1
## 75 1 3 1 0 0
## 76 3 1 0 0 1
## 77 1 3 1 0 0
## 78 3 1 0 0 1
## 79 2 2 0 1 0
## 80 1 3 1 0 0
## 81 3 1 0 0 1
## 82 1 3 1 0 0
## 83 1 3 1 0 0
## 84 1 3 1 0 0
## 85 1 3 1 0 0
## 86 1 3 1 0 0
## 87 3 1 0 0 1
## 88 3 1 0 0 1
## 89 3 1 0 0 1
## 90 1 3 1 0 0
## 91 1 3 1 0 0
## 92 3 1 0 0 1
## 93 1 3 1 0 0
## 94 1 3 1 0 0
## 95 1 3 1 0 0
## 96 2 2 0 1 0
## 97 1 3 1 0 0
## 98 1 3 1 0 0
## 99 3 1 0 0 1
## 100 3 1 0 0 1
## 101 1 3 1 0 0
## 102 2 2 0 1 0
## 103 3 1 0 0 1
## 104 2 2 0 1 0
## 105 2 2 0 1 0
## 106 3 1 0 0 1
## 107 2 2 0 1 0
## 108 2 2 0 1 0
## 109 3 1 0 0 1
## 110 2 2 0 1 0
## 111 1 3 1 0 0
## 112 1 3 1 0 0
## 113 3 1 0 0 1
## 114 2 2 0 1 0
## 115 3 1 0 0 1
## 116 3 1 0 0 1
## 117 2 2 0 1 0
## 118 1 3 1 0 0
## 119 1 3 1 0 0
## 120 1 3 1 0 0
## 121 1 3 1 0 0
## 122 1 3 1 0 0
## 123 1 3 1 0 0
## 124 3 1 0 0 1
## 125 2 2 0 1 0
## 126 3 1 0 0 1
## 127 2 2 0 1 0
## 128 3 1 0 0 1
## 129 1 3 1 0 0
## 130 2 2 0 1 0
## 131 3 1 0 0 1
## 132 1 3 1 0 0
## 133 3 1 0 0 1
## 134 3 1 0 0 1
## 135 1 3 1 0 0
## 136 1 3 1 0 0
## 137 2 2 0 1 0
## 138 1 3 1 0 0
## 139 1 3 1 0 0
## 140 3 1 0 0 1
## 141 3 1 0 0 1
## 142 3 1 0 0 1
## 143 1 3 1 0 0
## 144 3 1 0 0 1
## 145 3 1 0 0 1
## 146 3 1 0 0 1
## 147 3 1 0 0 1
## 148 3 1 0 0 1
## 149 1 3 1 0 0
## 150 3 1 0 0 1
## 151 2 2 0 1 0
## 152 1 3 1 0 0
## 153 2 2 0 1 0
## 154 2 2 0 1 0
## 155 2 2 0 1 0
## 156 3 1 0 0 1
## 157 1 3 1 0 0
## 158 1 3 1 0 0
## 159 1 3 1 0 0
## 160 3 1 0 0 1
## 161 1 3 1 0 0
## 162 2 2 0 1 0
## 163 1 3 1 0 0
## 164 1 3 1 0 0
## 165 1 3 1 0 0
## 166 1 3 1 0 0
## 167 2 2 0 1 0
## 168 1 3 1 0 0
## 169 3 1 0 0 1
## 170 3 1 0 0 1
## 171 3 1 0 0 1
## 172 2 2 0 1 0
## 173 1 3 1 0 0
## 174 3 1 0 0 1
## 175 3 1 0 0 1
## 176 1 3 1 0 0
## 177 3 1 0 0 1
## 178 1 3 1 0 0
## 179 1 3 1 0 0
## 180 3 1 0 0 1
## 181 2 2 0 1 0
## 182 1 3 1 0 0
## 183 2 2 0 1 0
## 184 3 1 0 0 1
## 185 1 3 1 0 0
## 186 2 2 0 1 0
## 187 1 3 1 0 0
## 188 1 3 1 0 0
## 189 2 2 0 1 0
## 190 2 2 0 1 0
## 191 2 2 0 1 0
## 192 3 1 0 0 1
## 193 3 1 0 0 1
## 194 1 3 1 0 0
## 195 3 1 0 0 1
## 196 1 3 1 0 0
## 197 3 1 0 0 1
## 198 1 3 1 0 0
## 199 2 2 0 1 0
## 200 1 3 1 0 0
## 201 2 2 0 1 0
## 202 1 3 1 0 0
## 203 2 2 0 1 0
## 204 2 2 0 1 0
## 205 1 3 1 0 0
## 206 2 2 0 1 0
## 207 2 2 0 1 0
## 208 1 3 1 0 0
## 209 1 3 1 0 0
## 210 1 3 1 0 0
## 211 1 3 1 0 0
## 212 2 2 0 1 0
## 213 1 3 1 0 0
## 214 1 3 1 0 0
## 215 1 3 1 0 0
## 216 1 3 1 0 0
## 217 2 2 0 1 0
## 218 3 1 0 0 1
## 219 1 3 1 0 0
## 220 3 1 0 0 1
## 221 1 3 1 0 0
## 222 1 3 1 0 0
## 223 3 1 0 0 1
## 224 1 3 1 0 0
## 225 3 1 0 0 1
## 226 3 1 0 0 1
## 227 3 1 0 0 1
## 228 1 3 1 0 0
## 229 3 1 0 0 1
## 230 3 1 0 0 1
## 231 1 3 1 0 0
## 232 3 1 0 0 1
## 233 2 2 0 1 0
## 234 1 3 1 0 0
## 235 2 2 0 1 0
## 236 1 3 1 0 0
## 237 3 1 0 0 1
## 238 3 1 0 0 1
## 239 3 1 0 0 1
## 240 2 2 0 1 0
## 241 2 2 0 1 0
## 242 1 3 1 0 0
## 243 3 1 0 0 1
## 244 2 2 0 1 0
## 245 3 1 0 0 1
## 246 1 3 1 0 0
## 247 1 3 1 0 0
## 248 2 2 0 1 0
## 249 2 2 0 1 0
## 250 3 1 0 0 1
## 251 3 1 0 0 1
## 252 3 1 0 0 1
## 253 3 1 0 0 1
## 254 2 2 0 1 0
## 255 1 3 1 0 0
## 256 2 2 0 1 0
## 257 1 3 1 0 0
## 258 1 3 1 0 0
## 259 3 1 0 0 1
## 260 1 3 1 0 0
## 261 3 1 0 0 1
## 262 2 2 0 1 0
## 263 1 3 1 0 0
## 264 2 2 0 1 0
## 265 2 2 0 1 0
## 266 3 1 0 0 1
## 267 1 3 1 0 0
## 268 3 1 0 0 1
## 269 2 2 0 1 0
## 270 1 3 1 0 0
## 271 1 3 1 0 0
## 272 3 1 0 0 1
## 273 3 1 0 0 1
## 274 3 1 0 0 1
## 275 1 3 1 0 0
## 276 2 2 0 1 0
## 277 3 1 0 0 1
## 278 3 1 0 0 1
## 279 2 2 0 1 0
## 280 3 1 0 0 1
## 281 1 3 1 0 0
## 282 2 2 0 1 0
## 283 3 1 0 0 1
## 284 3 1 0 0 1
## 285 2 2 0 1 0
## 286 2 2 0 1 0
## 287 1 3 1 0 0
## 288 2 2 0 1 0
## 289 2 2 0 1 0
## 290 3 1 0 0 1
## 291 3 1 0 0 1
## 292 2 2 0 1 0
## 293 1 3 1 0 0
## 294 2 2 0 1 0
## 295 3 1 0 0 1
## 296 1 3 1 0 0
## 297 3 1 0 0 1
## 298 2 2 0 1 0
## 299 1 3 1 0 0
## 300 3 1 0 0 1
## 301 2 2 0 1 0
## 302 1 3 1 0 0
## 303 3 1 0 0 1
## 304 1 3 1 0 0
## 305 2 2 0 1 0
## 306 1 3 1 0 0
## 307 2 2 0 1 0
## 308 2 2 0 1 0
## 309 2 2 0 1 0
## 310 2 2 0 1 0
## 311 3 1 0 0 1
## 312 1 3 1 0 0
## 313 1 3 1 0 0
## 314 1 3 1 0 0
## 315 1 3 1 0 0model2=lm(mydata$Cholesterol~mydata$vitReg+mydata$vitOcc)
model2##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$vitReg + mydata$vitOcc)
##
## Coefficients:
## (Intercept) mydata$vitReg mydata$vitOcc
## 246.599 -9.908 -1.156summary(model2)##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$vitReg + mydata$vitOcc)
##
## Residuals:
## Min 1Q Median 3Q Max
## -208.90 -88.30 -35.00 66.83 664.01
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 246.599 12.560 19.633 <2e-16 ***
## mydata$vitReg -9.908 17.358 -0.571 0.569
## mydata$vitOcc -1.156 19.270 -0.060 0.952
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 132.3 on 312 degrees of freedom
## Multiple R-squared: 0.001223, Adjusted R-squared: -0.005179
## F-statistic: 0.1911 on 2 and 312 DF, p-value: 0.8262plot(mydata$Cholesterol~mydata$vitReg+mydata$vitOcc)
plot(model2)
mydata$vitReg1[mydata$VitaminUse == 'Regular'] <- 1
mydata$vitReg1[mydata$VitaminUse == 'Occasional'] <- 0
mydata$vitReg1[mydata$VitaminUse == 'No'] <- -1
mydata$vitOcc1[mydata$VitaminUse == 'Regular'] <- 0
mydata$vitOcc1[mydata$VitaminUse == 'Occasional'] <- 1
mydata$vitOcc1[mydata$VitaminUse == 'No'] <- -1
mydata## ID Age Smoke Quetelet Calories Fat Fiber Alcohol Cholesterol BetaDiet
## 1 1 64 No 21.4838 1298.8 57.0 6.3 0.0 170.3 1945
## 2 2 76 No 23.8763 1032.5 50.1 15.8 0.0 75.8 2653
## 3 3 38 No 20.0108 2372.3 83.6 19.1 14.1 257.9 6321
## 4 4 40 No 25.1406 2449.5 97.5 26.5 0.5 332.6 1061
## 5 5 72 No 20.9850 1952.1 82.6 16.2 0.0 170.8 2863
## 6 6 40 No 27.5214 1366.9 56.0 9.6 1.3 154.6 1729
## 7 7 65 No 22.0115 2213.9 52.0 28.7 0.0 255.1 5371
## 8 8 58 No 28.7570 1595.6 63.4 10.9 0.0 214.1 823
## 9 9 35 No 23.0766 1800.5 57.8 20.3 0.6 233.6 2895
## 10 10 55 No 34.9699 1263.6 39.6 15.5 0.0 171.9 3307
## 11 11 66 No 20.9465 1460.8 58.0 18.2 1.0 137.4 1714
## 12 12 40 No 36.4316 1638.2 49.3 14.9 0.0 130.7 2031
## 13 13 57 No 31.7304 2072.9 106.7 9.6 0.9 420.0 1982
## 14 14 66 No 21.7885 987.5 35.6 10.3 0.0 254.9 2120
## 15 15 66 No 27.3192 1574.3 75.0 7.1 0.0 361.5 1388
## 16 16 64 No 31.4467 2868.5 128.8 15.0 20.0 379.5 3888
## 17 17 62 No 25.9025 1751.1 80.7 8.4 14.1 160.3 2194
## 18 18 75 No 29.1526 1407.6 35.0 20.8 7.0 144.1 3470
## 19 19 68 No 38.1873 1628.5 78.6 11.6 0.0 512.3 2108
## 20 20 57 No 25.8967 1101.4 48.5 8.5 5.0 197.2 1157
## 21 21 56 No 24.4588 2433.6 127.6 19.9 7.1 271.2 1739
## 22 22 30 No 22.7212 1437.3 61.5 8.8 2.3 160.9 1008
## 23 23 34 No 24.0812 2062.7 81.1 13.6 18.0 190.5 606
## 24 24 53 No 23.1598 1276.5 50.1 9.0 4.7 143.5 1380
## 25 25 60 No 49.1203 2114.8 77.6 14.9 0.5 239.9 4916
## 26 26 50 No 23.0766 1113.0 32.8 12.9 3.0 104.8 4451
## 27 27 62 No 33.7244 1323.0 60.8 11.4 0.0 155.8 5983
## 28 28 61 No 25.1827 2837.3 84.2 33.8 0.0 192.1 2413
## 29 29 65 No 28.9498 2055.9 111.8 15.9 0.0 226.5 3087
## 30 30 71 No 24.6800 1285.8 55.4 10.6 2.0 353.4 521
## 31 31 43 No 28.4015 1786.9 93.9 10.6 0.0 247.0 2431
## 32 32 33 No 20.5696 3144.8 155.0 17.6 4.1 308.8 3141
## 33 33 74 Yes 16.3311 1241.0 53.1 10.8 0.1 206.1 1668
## 34 34 41 No 21.0312 2419.3 122.7 16.2 0.3 325.2 4366
## 35 35 56 No 22.6438 2712.7 145.3 13.4 8.0 242.6 494
## 36 36 44 Yes 25.8787 1810.0 95.3 17.5 0.0 253.1 7026
## 37 37 37 No 35.3601 1778.1 75.9 10.8 0.5 332.6 1529
## 38 38 37 No 25.9400 1147.9 47.6 7.3 0.1 117.0 241
## 39 39 39 Yes 21.9991 1951.4 109.1 4.7 0.0 461.1 998
## 40 40 37 No 22.5121 2035.5 65.7 22.1 0.7 205.3 6082
## 41 41 53 No 27.4927 1248.6 56.9 8.2 0.0 223.2 2741
## 42 42 66 No 27.4961 3184.8 199.0 16.8 0.2 362.6 2100
## 43 43 58 No 24.1797 1538.1 78.7 14.2 0.9 231.2 2359
## 44 44 31 Yes 23.3459 1456.5 56.6 8.5 1.0 182.7 603
## 45 45 49 No 21.6784 1656.3 59.5 13.3 0.1 180.3 1625
## 46 46 75 No 21.3291 1396.8 53.3 13.2 3.2 99.3 2888
## 47 47 62 No 33.7442 1588.1 88.9 7.4 0.0 362.6 1099
## 48 48 56 No 32.0748 1566.5 95.2 6.5 7.2 408.0 2103
## 49 49 69 No 31.6684 827.9 32.8 8.7 0.0 79.8 2260
## 50 50 50 Yes 25.1119 2340.4 110.4 11.3 14.0 260.7 452
## 51 51 50 No 20.4034 1902.9 72.9 35.4 7.3 175.6 3549
## 52 52 72 No 39.2229 1111.9 47.2 10.2 0.2 69.4 2204
## 53 53 60 No 19.9326 1333.8 37.1 16.9 6.5 84.0 4964
## 54 54 55 No 21.6362 1896.1 82.2 9.3 10.0 296.8 1052
## 55 55 43 No 29.0047 1472.7 61.8 12.2 0.0 216.3 3572
## 56 56 29 No 18.8340 2237.4 77.6 22.6 0.7 180.6 2902
## 57 57 44 Yes 29.1135 1446.2 63.2 9.5 3.2 208.8 1788
## 58 58 48 No 32.3483 2908.5 139.1 16.4 0.2 511.6 5111
## 59 59 38 No 23.8573 2190.7 96.9 17.7 1.3 192.1 1378
## 60 60 33 No 19.4090 1878.2 81.6 9.6 4.9 265.8 1431
## 61 61 56 No 16.6367 1436.8 57.2 9.4 0.0 183.3 1727
## 62 62 65 Yes 23.3762 6662.2 164.3 11.3 203.0 603.0 2893
## 63 63 48 No 30.2950 2893.3 125.8 18.8 1.7 256.7 2524
## 64 64 66 No 22.5743 1902.4 76.7 17.7 3.1 216.7 2533
## 65 65 78 No 26.3675 1531.6 69.5 5.4 0.0 168.0 982
## 66 66 65 No 23.5424 1220.7 34.6 16.5 5.6 152.8 1535
## 67 67 72 No 22.0119 1247.7 46.8 10.2 0.0 347.9 326
## 68 68 31 Yes 21.0778 1631.5 75.2 8.5 0.7 277.1 1487
## 69 69 74 No 25.7393 818.1 34.3 6.6 3.7 55.4 1114
## 70 70 61 No 25.1827 1570.1 58.7 19.3 2.0 158.3 1080
## 71 71 83 No 25.2068 1331.2 50.6 7.7 0.3 380.7 2492
## 72 72 46 No 30.7096 2052.4 120.4 10.2 0.0 195.2 1349
## 73 73 62 No 23.9217 1823.0 80.3 17.4 6.2 256.8 6948
## 74 74 56 Yes 20.6410 1743.8 85.3 13.2 7.2 349.6 1086
## 75 75 33 No 26.6369 3457.2 166.0 17.5 10.5 452.8 2629
## 76 76 45 No 22.3611 1126.7 20.4 12.5 7.2 71.8 1307
## 77 77 41 No 23.0939 3258.3 101.2 26.2 0.5 341.7 1306
## 78 78 73 No 24.6800 2833.7 119.9 14.6 18.2 365.0 3465
## 79 79 31 No 21.3314 2264.3 105.5 13.4 3.2 396.5 1846
## 80 80 50 No 25.1199 2026.0 85.5 11.2 21.0 268.2 1334
## 81 81 65 No 28.4020 1747.6 83.6 10.9 0.0 244.8 4848
## 82 82 35 Yes 21.8340 1575.5 53.9 7.0 1.0 216.2 1734
## 83 83 42 No 29.0357 1785.4 94.1 10.0 0.7 288.0 1120
## 84 84 19 No 29.2415 2558.9 116.1 12.3 0.0 324.5 1498
## 85 85 37 No 19.9861 839.0 29.2 4.7 6.4 66.5 330
## 86 86 44 No 24.0812 2391.3 95.4 20.6 0.0 283.3 5909
## 87 87 36 No 23.3459 1887.4 110.2 6.0 0.1 211.7 3326
## 88 88 53 Yes 25.1406 2798.2 125.9 17.7 7.0 239.0 2110
## 89 89 69 Yes 27.2289 2654.9 126.0 23.3 0.0 248.0 2719
## 90 90 74 No 27.9862 1202.0 46.6 11.4 0.0 59.2 2309
## 91 91 70 No 22.5331 1235.9 51.1 9.6 3.0 142.0 1153
## 92 92 56 No 26.3173 2225.1 111.5 10.4 6.8 283.7 1432
## 93 93 77 No 27.7905 866.9 31.0 9.8 0.2 59.7 2493
## 94 94 73 No 24.4172 1666.8 76.5 13.3 0.0 747.5 3054
## 95 95 43 No 23.0381 3711.0 202.7 14.9 18.0 469.2 1861
## 96 96 41 No 23.6169 1055.0 33.2 12.9 0.9 220.0 4268
## 97 97 22 No 27.0053 2733.0 123.8 5.1 0.3 440.3 1652
## 98 98 44 No 23.4605 1660.1 80.3 13.6 0.1 89.0 1802
## 99 99 51 No 25.1571 1952.7 63.8 17.9 11.0 201.3 2308
## 100 100 46 Yes 35.2597 2667.5 131.6 10.1 0.0 550.5 1210
## 101 101 25 Yes 20.6410 1517.4 59.1 5.9 0.0 127.6 214
## 102 102 69 No 23.0056 1711.4 98.2 10.8 0.3 332.4 1370
## 103 103 69 No 25.2317 1756.4 82.3 8.8 0.0 500.3 2354
## 104 104 58 No 27.3369 2186.2 99.3 14.9 0.2 263.8 2446
## 105 105 77 No 25.8813 2075.2 75.6 21.4 0.0 228.8 3473
## 106 106 67 No 24.7353 2021.2 94.8 13.3 8.0 417.6 3359
## 107 107 37 No 29.3256 1653.2 77.3 12.5 1.0 162.6 1062
## 108 108 47 No 21.1882 1076.6 33.4 22.5 4.1 138.8 1489
## 109 109 60 Yes 19.6773 1506.7 76.3 14.6 0.0 239.2 3982
## 110 110 49 No 25.0700 1511.7 54.4 16.1 4.2 200.5 1656
## 111 111 83 No 25.5977 1933.6 98.8 11.1 0.0 224.7 768
## 112 112 56 No 22.0119 1830.0 52.8 13.8 8.5 689.4 1496
## 113 113 39 No 30.2913 1256.7 43.7 5.3 0.3 133.6 683
## 114 114 41 No 41.8559 1823.7 54.7 14.6 0.0 188.0 885
## 115 115 37 Yes 28.3357 1902.8 81.7 8.2 0.0 178.6 1662
## 116 116 66 No 26.5081 958.5 37.7 8.3 0.0 108.6 1552
## 117 117 55 No 21.0778 2328.3 112.6 13.9 2.9 281.9 2144
## 118 118 49 No 39.4650 1574.0 74.6 14.1 0.0 440.6 3567
## 119 119 31 No 18.9836 1646.2 52.2 13.2 5.0 174.9 1423
## 120 120 64 No 18.8783 1828.0 63.4 14.7 0.0 87.9 1293
## 121 121 57 No 23.2212 1288.7 63.2 10.6 0.0 200.2 2111
## 122 122 42 Yes 26.8491 1084.3 25.2 21.8 1.0 105.7 2874
## 123 123 40 No 25.8813 2431.9 93.7 17.8 0.1 364.6 1699
## 124 124 73 Yes 19.4090 2453.5 118.5 10.3 0.0 516.5 954
## 125 125 37 No 19.5708 1645.7 76.0 6.6 4.0 225.9 1368
## 126 126 43 No 20.2970 2075.9 96.5 17.3 7.0 271.8 3318
## 127 127 66 No 26.4205 1563.7 73.3 12.0 1.1 300.9 2247
## 128 128 26 No 20.3795 1663.3 64.6 7.6 2.0 124.7 910
## 129 129 45 No 29.2415 1601.4 93.9 8.8 0.0 255.8 1171
## 130 130 74 No 30.2950 1718.9 57.9 15.0 1.2 272.7 2077
## 131 131 49 No 21.4790 1010.6 29.4 9.1 6.2 98.8 1210
## 132 132 41 No 19.4090 1372.7 61.6 9.5 0.0 182.5 1826
## 133 133 74 No 27.3192 1837.0 76.9 13.6 0.0 383.6 2628
## 134 134 38 Yes 21.8451 1662.7 58.7 15.7 3.7 163.7 561
## 135 135 83 No 22.2224 1534.7 54.9 26.3 0.0 77.5 1893
## 136 136 70 No 28.0470 2005.8 89.5 8.5 0.1 121.2 1312
## 137 137 39 No 26.0943 1187.8 32.8 11.6 0.0 154.9 1913
## 138 138 65 No 21.5851 1446.2 56.8 10.8 0.0 127.9 924
## 139 139 72 No 21.0312 976.7 68.4 3.1 0.0 99.6 728
## 140 140 46 No 23.6773 2706.7 104.9 16.8 22.0 416.0 4387
## 141 141 46 No 30.0587 1546.0 73.6 10.3 7.0 284.8 1976
## 142 142 51 No 34.1851 1324.0 46.0 12.7 0.0 151.0 2422
## 143 143 39 No 24.0812 1368.9 61.6 14.4 6.7 314.9 1407
## 144 144 33 Yes 20.1613 3228.0 141.1 14.4 0.0 718.8 1301
## 145 145 49 No 31.7263 2825.8 97.8 7.5 35.0 374.3 1112
## 146 146 44 No 23.3932 1220.9 35.1 14.0 0.0 99.2 1052
## 147 147 69 No 24.2613 1174.7 47.4 9.9 0.1 89.9 1008
## 148 148 52 No 27.8335 828.2 52.3 6.1 1.2 141.1 1054
## 149 149 82 No 20.2177 1708.1 94.2 15.1 2.0 224.7 1484
## 150 150 46 No 23.4786 1182.9 60.2 5.2 0.2 164.5 657
## 151 151 25 No 22.7051 928.4 29.7 6.0 0.5 120.7 604
## 152 152 54 No 37.8687 4373.6 235.9 22.9 0.1 814.7 2912
## 153 153 70 No 25.7393 1387.7 55.2 11.2 0.0 114.0 869
## 154 154 35 No 18.4385 1555.6 72.8 11.5 0.0 174.1 1578
## 155 155 46 No 33.1948 1581.7 64.1 12.3 0.1 170.1 1210
## 156 156 70 No 29.5966 1397.4 60.5 9.2 0.0 228.5 1554
## 157 157 71 No 22.1532 1305.4 43.3 10.2 0.0 72.7 3445
## 158 158 59 No 26.8868 1249.6 24.2 14.7 0.0 97.2 3014
## 159 159 42 No 20.5412 2347.3 104.4 12.5 0.0 249.3 1666
## 160 160 46 No 39.4062 1207.1 42.8 11.6 0.0 155.1 1462
## 161 161 37 No 33.3723 1688.1 45.0 17.1 0.8 141.1 1272
## 162 162 39 No 21.9409 1719.3 49.7 18.4 11.0 164.6 5296
## 163 163 43 No 25.5828 2501.6 121.1 19.5 0.0 343.0 5605
## 164 164 23 No 20.1259 2219.1 120.9 13.1 2.0 415.8 2430
## 165 165 45 No 20.2398 1827.7 71.2 10.4 2.0 267.5 2375
## 166 166 63 No 23.9217 1282.3 26.4 13.6 0.1 100.6 3753
## 167 167 44 Yes 28.3486 1427.2 60.6 8.3 0.2 195.0 695
## 168 168 43 No 20.4034 2000.8 86.7 14.8 0.9 200.9 1649
## 169 169 33 No 27.8695 1622.4 71.5 12.9 1.0 214.8 2317
## 170 170 35 No 34.0818 3114.0 160.2 14.9 0.2 432.3 1702
## 171 171 50 No 23.0716 2012.0 112.9 14.3 6.5 456.9 1007
## 172 172 50 No 29.0157 2106.4 97.0 12.9 0.0 344.3 2308
## 173 173 59 No 25.5977 1546.6 72.9 15.1 0.7 192.8 4694
## 174 174 38 No 23.0766 1149.0 43.6 8.6 10.5 122.5 2749
## 175 175 60 No 29.7475 659.3 22.2 7.0 0.1 102.0 1497
## 176 176 54 No 19.1770 1580.6 82.9 9.4 5.2 98.3 1171
## 177 177 71 No 24.4634 1850.5 75.9 16.1 7.2 247.9 3054
## 178 178 48 No 22.5319 1242.1 37.5 13.3 1.0 148.4 1488
## 179 179 49 No 32.0177 1099.4 56.9 5.2 0.5 169.9 829
## 180 180 27 Yes 29.2415 1127.6 59.4 7.4 0.0 183.4 1037
## 181 181 27 Yes 25.4454 2919.5 125.3 14.3 1.0 370.0 846
## 182 182 75 No 21.5278 1049.1 51.7 8.0 0.0 188.9 1382
## 183 183 45 No 26.4205 1366.6 42.5 12.9 2.5 141.2 3407
## 184 184 35 No 30.4455 1884.8 91.6 11.1 5.0 518.0 758
## 185 185 56 No 33.5921 1494.5 59.1 6.8 0.0 111.5 599
## 186 186 41 Yes 27.5214 1444.6 89.1 6.8 0.0 280.1 1073
## 187 187 48 No 32.9913 445.2 14.4 5.0 0.0 102.8 862
## 188 188 48 No 21.8351 1849.8 80.6 13.8 3.2 549.1 4291
## 189 189 32 No 20.1579 1678.2 54.3 12.9 1.5 147.3 1668
## 190 190 38 No 46.7376 1390.4 55.7 10.8 0.0 195.1 2809
## 191 191 52 No 33.2962 1749.9 81.3 12.1 0.0 226.5 2373
## 192 192 40 No 24.0103 742.3 36.5 5.9 2.1 133.9 1850
## 193 193 44 No 23.0716 1148.5 50.3 7.1 0.1 139.2 1352
## 194 194 70 No 22.4821 1730.6 72.9 14.4 0.2 363.1 2315
## 195 195 55 Yes 29.0357 1162.5 54.0 5.6 0.2 175.2 1417
## 196 196 48 No 20.2177 1738.9 63.5 12.2 0.5 205.9 4504
## 197 197 38 No 20.7176 1432.1 58.5 6.3 0.2 131.9 998
## 198 198 49 No 20.4034 3098.9 106.2 25.2 1.2 447.6 4430
## 199 199 36 No 32.9594 2342.3 95.8 19.2 1.7 389.4 3201
## 200 200 64 No 21.5011 2319.9 97.6 22.3 0.0 155.3 3686
## 201 201 49 No 23.6794 1292.8 43.1 10.6 11.0 180.7 2131
## 202 202 49 Yes 22.7216 784.4 40.6 4.9 3.0 97.4 852
## 203 203 43 No 22.9146 2038.5 80.7 17.1 0.0 232.3 2781
## 204 204 33 No 23.9378 1366.8 55.9 6.2 0.0 196.0 1151
## 205 205 38 No 26.0943 1550.0 66.8 12.1 0.0 253.2 3970
## 206 206 36 No 19.7664 1240.7 50.9 6.9 0.3 116.0 808
## 207 207 33 No 21.6734 2814.6 111.2 16.8 0.0 399.3 843
## 208 208 47 No 20.8130 1612.5 45.5 9.0 15.0 149.9 2537
## 209 209 53 No 40.6892 1576.3 54.8 13.5 0.1 308.9 2205
## 210 210 41 No 29.1423 1197.7 54.5 4.9 0.0 135.6 587
## 211 211 36 No 21.0778 2045.3 84.8 13.2 0.7 271.9 3591
## 212 212 32 No 35.9753 3328.4 163.3 20.0 4.1 425.5 3434
## 213 213 57 No 26.9429 2513.3 98.9 10.6 0.0 428.1 2869
## 214 214 42 No 21.6784 1737.4 62.1 16.3 0.2 211.7 2515
## 215 215 37 Yes 27.2655 1034.4 34.5 8.9 0.0 118.5 807
## 216 216 52 No 32.6718 2083.9 93.1 8.8 0.0 328.1 766
## 217 217 45 Yes 28.7254 1481.8 75.3 10.4 0.2 336.9 720
## 218 218 42 No 20.7690 1051.2 44.0 10.9 0.2 165.5 516
## 219 219 42 No 21.2065 1730.1 58.3 16.6 4.5 196.1 3785
## 220 220 41 Yes 20.7176 1102.8 56.6 5.3 0.0 329.8 1436
## 221 221 41 No 26.3117 1496.7 64.6 5.9 1.0 239.8 613
## 222 222 26 Yes 20.5412 1987.2 76.6 9.8 0.0 156.1 1460
## 223 223 70 No 20.1613 2017.2 136.0 7.6 0.0 195.8 2251
## 224 224 44 No 26.3675 1525.6 85.4 7.9 0.1 179.4 2029
## 225 225 46 No 28.4020 1342.2 69.7 5.9 1.0 215.4 8046
## 226 226 22 No 50.4033 1511.7 64.4 10.2 0.0 190.3 1074
## 227 227 46 Yes 21.6784 1570.1 74.1 13.7 0.9 145.7 3556
## 228 228 32 No 20.0560 2703.4 120.6 11.4 0.1 284.3 1218
## 229 229 27 No 23.8763 1200.6 61.5 8.7 1.5 208.7 2199
## 230 230 52 No 37.1113 1891.6 73.8 17.6 0.0 226.0 5810
## 231 231 42 No 36.5973 1434.9 59.3 11.2 0.0 281.1 1214
## 232 232 34 No 28.5795 2118.1 93.0 20.1 0.0 170.0 2215
## 233 233 36 No 40.2953 1414.6 51.2 13.7 0.0 135.8 1678
## 234 234 59 No 24.8040 2192.3 78.7 14.2 0.0 173.5 2579
## 235 235 75 No 36.4737 1380.6 54.5 13.5 0.1 201.6 925
## 236 236 43 No 45.8581 1626.3 72.2 7.9 0.0 157.5 404
## 237 237 56 No 30.4824 2210.7 113.1 10.5 6.1 340.1 2008
## 238 238 48 No 19.7039 1600.7 77.7 11.2 7.2 180.1 2469
## 239 239 34 Yes 21.9638 1076.2 52.7 6.1 0.0 78.3 755
## 240 240 37 No 23.3459 2094.5 78.9 17.3 1.0 193.4 1718
## 241 241 41 No 31.8216 1823.0 74.8 12.1 1.3 196.9 2133
## 242 242 74 No 23.3459 1512.1 73.8 8.7 5.7 182.8 1167
## 243 243 73 No 21.0113 840.6 34.3 8.2 0.1 81.1 619
## 244 244 53 Yes 19.7810 1996.1 98.8 9.2 0.0 436.8 908
## 245 245 74 No 21.1364 2171.6 76.6 20.4 0.0 176.3 3690
## 246 246 77 No 24.3272 1481.4 55.0 11.2 0.0 191.7 3425
## 247 247 39 No 21.1781 1829.2 79.0 15.6 0.0 178.4 2787
## 248 248 29 No 18.6003 1041.6 45.4 6.0 3.0 139.5 675
## 249 249 37 No 44.9106 2010.4 101.2 16.0 0.1 362.4 2142
## 250 250 47 No 23.9642 2120.8 77.4 17.0 8.4 185.9 2299
## 251 251 64 No 21.2065 1008.4 35.4 5.6 14.0 37.7 544
## 252 252 36 No 42.8886 798.2 30.6 7.9 2.4 46.3 604
## 253 253 42 No 20.4172 3099.2 134.9 19.0 0.8 469.3 6558
## 254 254 64 No 25.6599 2055.7 114.4 13.0 0.0 248.4 2661
## 255 255 38 No 20.7029 2585.3 129.8 21.1 4.0 429.5 7362
## 256 256 39 No 28.4015 1906.5 86.4 10.4 15.5 265.9 2583
## 257 257 40 No 31.2422 3014.9 165.7 14.4 0.0 900.7 1028
## 258 258 29 No 37.9400 1631.0 55.6 13.8 0.5 189.5 3435
## 259 259 71 No 24.9883 1399.5 66.5 9.6 8.0 260.0 1527
## 260 260 45 No 23.4316 2319.0 122.1 13.4 0.1 305.7 2047
## 261 261 63 No 18.9209 1655.9 70.8 15.1 0.1 177.3 2897
## 262 262 46 No 24.2613 1422.8 58.3 7.8 7.1 206.3 1987
## 263 263 75 No 21.6784 2511.5 92.3 36.8 0.6 228.3 4271
## 264 264 46 No 35.1907 740.6 38.5 5.3 0.0 113.9 868
## 265 265 44 No 22.5440 1292.6 49.4 10.4 1.2 186.5 578
## 266 266 24 No 31.9972 3021.9 171.0 11.4 0.1 466.3 953
## 267 267 32 No 22.5121 1918.4 63.1 16.1 5.0 202.2 1048
## 268 268 66 No 22.6438 2086.6 72.3 16.0 0.0 112.8 1439
## 269 269 43 No 26.3475 3449.7 172.8 20.5 1.4 381.3 3324
## 270 270 73 No 24.9412 1186.4 46.1 10.5 1.5 119.7 921
## 271 271 54 No 25.7501 1724.7 75.1 18.2 0.0 173.3 1192
## 272 272 44 Yes 29.9774 1877.4 92.2 7.7 0.2 211.6 1665
## 273 273 55 No 22.8771 2272.6 94.5 10.9 14.2 269.2 3610
## 274 274 70 Yes 23.8270 1514.4 51.7 14.2 7.0 97.5 3317
## 275 275 32 No 25.4573 2170.3 95.1 15.2 0.2 175.2 3313
## 276 276 33 No 23.2690 2271.1 114.6 10.4 0.0 574.2 1270
## 277 277 49 No 22.5064 1469.9 50.4 12.1 0.7 118.8 1915
## 278 278 69 No 44.2062 2332.2 109.6 19.7 0.1 286.7 4013
## 279 279 38 No 20.7173 1619.3 83.7 8.4 0.5 310.1 902
## 280 280 34 Yes 34.0818 1148.7 41.7 9.8 1.0 173.4 2247
## 281 281 49 No 20.0895 2512.0 64.9 30.2 0.6 168.5 4832
## 282 282 40 Yes 18.3432 833.0 38.8 5.5 0.0 145.3 577
## 283 283 41 No 28.0470 1808.4 61.5 10.5 17.0 176.1 1884
## 284 284 62 No 29.8494 2115.4 84.1 23.9 0.0 189.5 3172
## 285 285 28 No 20.1250 1600.9 68.0 14.2 0.2 171.2 3102
## 286 286 78 No 41.6857 647.7 30.9 3.7 0.0 87.5 1186
## 287 287 67 No 30.7309 849.2 25.4 10.9 0.0 91.7 1237
## 288 288 51 No 24.9082 2166.9 105.8 15.6 0.0 349.1 4098
## 289 289 29 Yes 26.6874 2476.2 121.1 14.3 0.0 263.5 2889
## 290 290 36 Yes 25.7393 1959.3 112.4 6.7 0.5 326.7 1097
## 291 291 43 No 18.5769 1695.3 62.4 17.7 0.0 147.3 570
## 292 292 55 No 25.4258 2307.8 111.0 18.4 3.4 487.8 2627
## 293 293 54 No 24.9550 1392.2 47.8 12.9 0.0 87.5 849
## 294 294 32 No 39.5620 3511.1 114.7 13.9 0.2 444.7 2174
## 295 295 65 No 26.7596 1276.0 60.5 12.0 3.5 87.3 1456
## 296 296 41 Yes 41.6495 2685.1 133.1 11.1 15.0 432.4 3728
## 297 297 60 No 40.6953 1327.0 64.8 9.3 0.1 341.0 1987
## 298 298 73 No 25.8473 853.1 29.8 6.3 10.0 160.5 1022
## 299 299 71 No 21.8109 1215.8 43.8 12.3 5.0 110.8 2079
## 300 300 47 No 37.2776 1927.6 92.5 10.7 0.0 359.1 406
## 301 301 35 No 29.5855 2466.9 112.6 9.6 0.1 331.9 621
## 302 302 34 Yes 21.3291 3103.7 124.7 18.1 8.3 431.0 2652
## 303 303 41 No 34.6149 2046.9 103.0 13.1 0.0 334.2 1745
## 304 304 33 No 18.5769 1835.9 74.1 23.0 0.7 184.2 2121
## 305 305 73 Yes 20.7112 1678.5 82.3 6.3 14.1 249.5 1078
## 306 306 67 No 26.9429 1049.2 44.6 9.6 0.0 247.2 2672
## 307 307 66 No 33.1076 1762.1 72.9 16.5 0.0 240.3 4935
## 308 308 44 Yes 23.2772 3183.1 119.4 6.9 35.0 378.8 1118
## 309 309 36 No 24.7434 2838.8 88.5 24.0 4.5 252.4 9642
## 310 310 48 No 24.6147 2021.1 72.2 16.6 9.0 299.1 1392
## 311 311 46 No 25.8967 2263.6 98.2 19.4 2.6 306.5 2572
## 312 312 45 No 23.8270 1841.1 84.2 14.1 2.2 257.7 1665
## 313 313 49 No 24.2613 1125.6 44.8 11.9 4.0 150.5 6943
## 314 314 31 No 23.4525 2729.6 144.4 13.2 2.2 381.8 741
## 315 315 45 No 26.5081 1627.0 77.4 9.9 0.2 195.6 1242
## RetinolDiet BetaPlasma RetinolPlasma Gender VitaminUse PriorSmoke
## 1 890 200 915 Female Regular 2
## 2 451 124 727 Female Regular 1
## 3 660 328 721 Female Occasional 2
## 4 864 153 615 Female No 2
## 5 1209 92 799 Female Regular 1
## 6 1439 148 654 Female No 2
## 7 802 258 834 Female Occasional 1
## 8 2571 64 825 Female Regular 1
## 9 944 218 517 Female No 1
## 10 493 81 562 Female No 2
## 11 535 184 935 Female Regular 2
## 12 492 91 741 Female Occasional 1
## 13 1105 120 679 Male No 1
## 14 1047 61 507 Female Regular 1
## 15 980 108 852 Male No 1
## 16 1545 211 1249 Male No 2
## 17 242 235 1035 Male Regular 2
## 18 479 288 1262 Male Regular 2
## 19 921 102 904 Female No 1
## 20 445 113 1727 Male No 2
## 21 926 74 684 Male No 2
## 22 695 129 537 Female No 2
## 23 944 140 760 Female No 1
## 24 708 138 809 Female Occasional 2
## 25 1150 143 697 Female Regular 1
## 26 554 416 676 Female Regular 1
## 27 320 212 822 Female Occasional 2
## 28 656 786 691 Female Regular 1
## 29 1199 35 599 Male No 1
## 30 975 122 901 Male No 2
## 31 914 119 818 Female No 2
## 32 1579 182 623 Female Occasional 2
## 33 1618 186 624 Female No 3
## 34 1759 216 526 Female No 1
## 35 608 751 1002 Male Occasional 2
## 36 508 39 179 Female Regular 3
## 37 517 107 564 Female Occasional 2
## 38 314 74 456 Female No 2
## 39 588 418 665 Male Regular 3
## 40 674 1415 632 Female Regular 1
## 41 419 400 502 Female No 1
## 42 1083 102 838 Female No 2
## 43 834 135 574 Female Occasional 2
## 44 473 97 611 Female Occasional 3
## 45 707 124 476 Female Occasional 1
## 46 323 195 546 Female Regular 1
## 47 651 107 411 Female Regular 1
## 48 855 53 475 Female No 1
## 49 264 148 321 Male Regular 2
## 50 550 77 388 Female No 3
## 51 969 316 586 Female No 1
## 52 239 77 648 Female Regular 1
## 53 374 266 550 Female Occasional 1
## 54 605 39 783 Male No 2
## 55 809 225 258 Female Regular 1
## 56 1065 173 299 Female Regular 1
## 57 677 79 384 Female Occasional 3
## 58 1359 102 692 Female Regular 2
## 59 685 158 634 Female Occasional 1
## 60 724 159 592 Female Occasional 1
## 61 898 157 383 Female Regular 1
## 62 1364 96 317 Male No 3
## 63 1250 160 247 Female Regular 1
## 64 592 100 730 Male Regular 2
## 65 854 293 587 Female Regular 2
## 66 493 171 407 Male No 1
## 67 407 89 831 Female No 2
## 68 1120 109 531 Female Occasional 3
## 69 453 129 560 Female No 2
## 70 724 87 397 Female No 1
## 71 1310 328 768 Female Occasional 1
## 72 860 298 393 Female Occasional 2
## 73 417 379 810 Female Regular 2
## 74 464 204 624 Female No 3
## 75 1470 75 227 Male Regular 1
## 76 178 127 525 Female No 2
## 77 1163 131 542 Female Regular 2
## 78 743 21 558 Male No 2
## 79 760 233 504 Female Occasional 2
## 80 486 73 1031 Male Regular 1
## 81 1005 25 187 Female No 1
## 82 1215 137 677 Female Regular 3
## 83 619 82 783 Male Regular 2
## 84 1066 327 693 Female Regular 1
## 85 394 142 511 Female Regular 1
## 86 1702 86 435 Female Regular 2
## 87 928 150 362 Female No 2
## 88 1458 53 592 Male No 3
## 89 1323 112 360 Male No 3
## 90 578 104 476 Female Regular 1
## 91 1048 170 369 Female Regular 1
## 92 1006 150 619 Female No 2
## 93 640 282 472 Female Regular 1
## 94 4041 91 426 Male Regular 2
## 95 783 125 592 Female Regular 2
## 96 341 282 426 Male Occasional 1
## 97 1525 16 799 Female Regular 2
## 98 233 129 497 Female Regular 2
## 99 1838 180 622 Female No 2
## 100 1291 39 549 Male No 3
## 101 914 54 539 Female Regular 3
## 102 695 78 522 Male Occasional 2
## 103 842 34 551 Male No 2
## 104 881 95 466 Female Occasional 1
## 105 1326 174 423 Male Occasional 1
## 106 1060 95 797 Male No 2
## 107 1070 97 532 Female Occasional 2
## 108 490 204 422 Female Occasional 2
## 109 350 25 421 Female No 3
## 110 652 270 527 Female Occasional 2
## 111 719 285 512 Male Regular 2
## 112 546 110 756 Female Regular 1
## 113 627 162 456 Female No 1
## 114 687 179 456 Female Occasional 1
## 115 779 131 449 Female No 3
## 116 326 86 406 Female No 1
## 117 815 225 519 Female Occasional 1
## 118 963 249 464 Female Regular 2
## 119 1845 254 523 Female Regular 2
## 120 1101 189 588 Female Regular 1
## 121 950 108 564 Female Regular 1
## 122 159 121 927 Female Regular 3
## 123 2263 238 953 Male Regular 2
## 124 1328 127 516 Male No 3
## 125 427 141 669 Female Occasional 1
## 126 651 427 572 Female No 1
## 127 728 305 727 Female Occasional 1
## 128 605 74 544 Female No 1
## 129 453 156 917 Female Regular 2
## 130 1374 168 586 Female Occasional 1
## 131 555 116 516 Female No 1
## 132 386 290 404 Female Regular 2
## 133 966 304 709 Male No 1
## 134 947 198 429 Female No 3
## 135 426 253 629 Male Regular 1
## 136 688 148 1139 Female Regular 1
## 137 1048 492 466 Female Occasional 2
## 138 684 156 372 Female Regular 1
## 139 797 27 558 Female Regular 2
## 140 926 52 476 Male No 2
## 141 417 210 418 Female No 1
## 142 208 83 564 Female No 1
## 143 1335 182 431 Female Regular 1
## 144 307 40 485 Female No 3
## 145 735 69 733 Male No 2
## 146 441 172 402 Female No 1
## 147 783 253 760 Female No 1
## 148 366 435 659 Female No 2
## 149 790 429 599 Female Regular 1
## 150 441 326 495 Female No 1
## 151 432 75 436 Female Occasional 1
## 152 2104 121 416 Female Regular 1
## 153 1595 292 701 Female Occasional 1
## 154 689 207 553 Female Occasional 1
## 155 795 118 652 Female Occasional 1
## 156 675 108 621 Male No 1
## 157 1015 385 617 Female Regular 2
## 158 1340 408 784 Female Regular 1
## 159 859 97 352 Female Regular 1
## 160 868 118 677 Female No 1
## 161 145 60 520 Female Regular 2
## 162 554 357 474 Female Occasional 2
## 163 858 858 643 Female Regular 2
## 164 746 104 400 Female Regular 1
## 165 1284 219 627 Female Regular 2
## 166 649 296 701 Female Regular 1
## 167 270 164 566 Female Occasional 3
## 168 751 487 453 Female Regular 1
## 169 437 70 428 Female No 2
## 170 1224 43 434 Female No 2
## 171 6901 274 592 Female No 1
## 172 982 231 413 Female Occasional 2
## 173 864 346 849 Female Regular 2
## 174 329 181 727 Female No 2
## 175 244 116 700 Female No 2
## 176 465 391 499 Female Regular 2
## 177 629 85 853 Male No 2
## 178 706 800 532 Female Regular 2
## 179 887 286 561 Female Regular 1
## 180 239 87 378 Female No 3
## 181 2118 74 419 Female Occasional 3
## 182 222 460 694 Female Regular 1
## 183 532 154 437 Female Occasional 1
## 184 454 206 657 Female No 1
## 185 845 19 396 Female Regular 2
## 186 486 168 569 Female Occasional 3
## 187 160 108 493 Female Regular 1
## 188 661 274 344 Female Regular 1
## 189 666 120 620 Female Occasional 2
## 190 482 53 277 Female Occasional 1
## 191 1816 105 464 Female Occasional 1
## 192 309 159 542 Female No 1
## 193 455 83 824 Female No 1
## 194 1196 425 602 Female Regular 1
## 195 451 99 670 Female No 3
## 196 294 159 569 Female Regular 1
## 197 699 111 443 Female No 2
## 198 632 316 399 Female Regular 1
## 199 1574 105 489 Female Occasional 2
## 200 523 317 491 Female Regular 1
## 201 227 372 1443 Female Occasional 2
## 202 311 116 602 Female Regular 3
## 203 757 229 748 Female Occasional 1
## 204 498 51 602 Female Occasional 1
## 205 390 286 502 Female Regular 1
## 206 349 110 527 Female Occasional 1
## 207 1616 143 470 Female Occasional 2
## 208 295 1212 566 Female Regular 2
## 209 824 174 491 Female Regular 1
## 210 215 86 663 Female Regular 1
## 211 1178 132 526 Female Regular 1
## 212 2167 58 556 Female Occasional 2
## 213 741 77 394 Female Regular 2
## 214 1340 237 737 Female Regular 1
## 215 141 41 573 Female Regular 3
## 216 604 103 713 Female Regular 1
## 217 701 193 777 Female Occasional 3
## 218 730 153 437 Female No 1
## 219 642 1391 609 Female Regular 1
## 220 522 89 481 Female No 3
## 221 509 84 471 Female Regular 1
## 222 322 36 296 Female Regular 3
## 223 1404 494 499 Female No 1
## 224 898 78 559 Female Regular 1
## 225 453 102 701 Female No 1
## 226 399 50 332 Female No 1
## 227 577 211 388 Female No 3
## 228 978 159 879 Female Regular 1
## 229 481 89 323 Female No 2
## 230 840 108 625 Female No 1
## 231 1119 188 614 Female Regular 1
## 232 1450 75 525 Female No 1
## 233 1307 14 432 Female Occasional 1
## 234 1026 165 734 Female Regular 2
## 235 707 143 364 Female Occasional 1
## 236 1050 241 387 Female Regular 1
## 237 638 97 709 Male No 2
## 238 538 76 561 Female No 2
## 239 417 169 418 Female No 3
## 240 1052 222 413 Female Occasional 1
## 241 728 82 506 Female Occasional 2
## 242 1169 324 628 Female Regular 1
## 243 79 146 578 Female No 1
## 244 1478 126 486 Female Occasional 3
## 245 1113 293 875 Male No 1
## 246 859 183 817 Female Regular 2
## 247 1210 170 647 Female Regular 1
## 248 403 129 820 Female Occasional 1
## 249 601 129 557 Female Occasional 1
## 250 1529 92 520 Female No 1
## 251 30 44 521 Female No 1
## 252 378 51 498 Female No 2
## 253 816 103 436 Female No 2
## 254 854 101 291 Female Occasional 2
## 255 964 372 293 Female Regular 2
## 256 632 78 600 Female Occasional 1
## 257 3061 0 254 Female Regular 1
## 258 1104 84 644 Female Regular 1
## 259 822 161 636 Female No 2
## 260 1125 331 684 Female Regular 1
## 261 505 366 535 Female No 1
## 262 608 990 584 Female Occasional 2
## 263 916 1010 473 Female Regular 1
## 264 106 236 647 Female Occasional 1
## 265 319 175 880 Female Occasional 2
## 266 1176 67 376 Female No 1
## 267 991 129 864 Female Regular 1
## 268 476 317 589 Female No 1
## 269 1558 168 510 Female Occasional 1
## 270 668 613 770 Female Regular 2
## 271 657 274 543 Female Regular 1
## 272 937 94 791 Female No 3
## 273 1825 122 537 Female No 2
## 274 766 232 516 Female No 3
## 275 1250 167 466 Female Regular 2
## 276 544 32 194 Male Occasional 1
## 277 594 128 759 Female No 2
## 278 1485 151 823 Female No 2
## 279 302 206 426 Female Occasional 1
## 280 682 75 403 Female No 3
## 281 793 447 516 Female Regular 1
## 282 444 339 560 Female Occasional 3
## 283 641 89 746 Female No 2
## 284 658 39 368 Female No 2
## 285 453 88 792 Female Occasional 1
## 286 466 114 719 Female Occasional 1
## 287 285 66 995 Female Regular 1
## 288 909 407 725 Female Occasional 1
## 289 1529 105 366 Female Occasional 3
## 290 966 140 1102 Female No 3
## 291 747 150 800 Female No 2
## 292 1627 95 854 Female Occasional 2
## 293 962 74 1517 Female Regular 1
## 294 1814 202 649 Female Occasional 1
## 295 443 133 710 Female No 1
## 296 587 63 1193 Male Regular 3
## 297 670 22 581 Female No 2
## 298 125 151 721 Female Occasional 2
## 299 597 473 946 Female Regular 1
## 300 806 58 794 Female No 1
## 301 579 87 494 Female Occasional 2
## 302 1098 113 796 Female Regular 3
## 303 445 117 738 Female No 1
## 304 426 155 444 Female Regular 2
## 305 416 41 669 Female Occasional 3
## 306 294 73 836 Female Regular 2
## 307 422 113 986 Female Occasional 1
## 308 1257 100 926 Female Occasional 3
## 309 634 265 986 Female Occasional 2
## 310 1027 144 752 Female Occasional 2
## 311 1261 164 216 Female No 2
## 312 465 80 328 Female Regular 1
## 313 520 300 502 Female Regular 1
## 314 644 121 684 Female Regular 2
## 315 554 233 826 Female Regular 1
## VitaminUseNum VitaminUseNum2 vitReg vitOcc vitNo vitReg1 vitOcc1
## 1 1 3 1 0 0 1 0
## 2 1 3 1 0 0 1 0
## 3 2 2 0 1 0 0 1
## 4 3 1 0 0 1 -1 -1
## 5 1 3 1 0 0 1 0
## 6 3 1 0 0 1 -1 -1
## 7 2 2 0 1 0 0 1
## 8 1 3 1 0 0 1 0
## 9 3 1 0 0 1 -1 -1
## 10 3 1 0 0 1 -1 -1
## 11 1 3 1 0 0 1 0
## 12 2 2 0 1 0 0 1
## 13 3 1 0 0 1 -1 -1
## 14 1 3 1 0 0 1 0
## 15 3 1 0 0 1 -1 -1
## 16 3 1 0 0 1 -1 -1
## 17 1 3 1 0 0 1 0
## 18 1 3 1 0 0 1 0
## 19 3 1 0 0 1 -1 -1
## 20 3 1 0 0 1 -1 -1
## 21 3 1 0 0 1 -1 -1
## 22 3 1 0 0 1 -1 -1
## 23 3 1 0 0 1 -1 -1
## 24 2 2 0 1 0 0 1
## 25 1 3 1 0 0 1 0
## 26 1 3 1 0 0 1 0
## 27 2 2 0 1 0 0 1
## 28 1 3 1 0 0 1 0
## 29 3 1 0 0 1 -1 -1
## 30 3 1 0 0 1 -1 -1
## 31 3 1 0 0 1 -1 -1
## 32 2 2 0 1 0 0 1
## 33 3 1 0 0 1 -1 -1
## 34 3 1 0 0 1 -1 -1
## 35 2 2 0 1 0 0 1
## 36 1 3 1 0 0 1 0
## 37 2 2 0 1 0 0 1
## 38 3 1 0 0 1 -1 -1
## 39 1 3 1 0 0 1 0
## 40 1 3 1 0 0 1 0
## 41 3 1 0 0 1 -1 -1
## 42 3 1 0 0 1 -1 -1
## 43 2 2 0 1 0 0 1
## 44 2 2 0 1 0 0 1
## 45 2 2 0 1 0 0 1
## 46 1 3 1 0 0 1 0
## 47 1 3 1 0 0 1 0
## 48 3 1 0 0 1 -1 -1
## 49 1 3 1 0 0 1 0
## 50 3 1 0 0 1 -1 -1
## 51 3 1 0 0 1 -1 -1
## 52 1 3 1 0 0 1 0
## 53 2 2 0 1 0 0 1
## 54 3 1 0 0 1 -1 -1
## 55 1 3 1 0 0 1 0
## 56 1 3 1 0 0 1 0
## 57 2 2 0 1 0 0 1
## 58 1 3 1 0 0 1 0
## 59 2 2 0 1 0 0 1
## 60 2 2 0 1 0 0 1
## 61 1 3 1 0 0 1 0
## 62 3 1 0 0 1 -1 -1
## 63 1 3 1 0 0 1 0
## 64 1 3 1 0 0 1 0
## 65 1 3 1 0 0 1 0
## 66 3 1 0 0 1 -1 -1
## 67 3 1 0 0 1 -1 -1
## 68 2 2 0 1 0 0 1
## 69 3 1 0 0 1 -1 -1
## 70 3 1 0 0 1 -1 -1
## 71 2 2 0 1 0 0 1
## 72 2 2 0 1 0 0 1
## 73 1 3 1 0 0 1 0
## 74 3 1 0 0 1 -1 -1
## 75 1 3 1 0 0 1 0
## 76 3 1 0 0 1 -1 -1
## 77 1 3 1 0 0 1 0
## 78 3 1 0 0 1 -1 -1
## 79 2 2 0 1 0 0 1
## 80 1 3 1 0 0 1 0
## 81 3 1 0 0 1 -1 -1
## 82 1 3 1 0 0 1 0
## 83 1 3 1 0 0 1 0
## 84 1 3 1 0 0 1 0
## 85 1 3 1 0 0 1 0
## 86 1 3 1 0 0 1 0
## 87 3 1 0 0 1 -1 -1
## 88 3 1 0 0 1 -1 -1
## 89 3 1 0 0 1 -1 -1
## 90 1 3 1 0 0 1 0
## 91 1 3 1 0 0 1 0
## 92 3 1 0 0 1 -1 -1
## 93 1 3 1 0 0 1 0
## 94 1 3 1 0 0 1 0
## 95 1 3 1 0 0 1 0
## 96 2 2 0 1 0 0 1
## 97 1 3 1 0 0 1 0
## 98 1 3 1 0 0 1 0
## 99 3 1 0 0 1 -1 -1
## 100 3 1 0 0 1 -1 -1
## 101 1 3 1 0 0 1 0
## 102 2 2 0 1 0 0 1
## 103 3 1 0 0 1 -1 -1
## 104 2 2 0 1 0 0 1
## 105 2 2 0 1 0 0 1
## 106 3 1 0 0 1 -1 -1
## 107 2 2 0 1 0 0 1
## 108 2 2 0 1 0 0 1
## 109 3 1 0 0 1 -1 -1
## 110 2 2 0 1 0 0 1
## 111 1 3 1 0 0 1 0
## 112 1 3 1 0 0 1 0
## 113 3 1 0 0 1 -1 -1
## 114 2 2 0 1 0 0 1
## 115 3 1 0 0 1 -1 -1
## 116 3 1 0 0 1 -1 -1
## 117 2 2 0 1 0 0 1
## 118 1 3 1 0 0 1 0
## 119 1 3 1 0 0 1 0
## 120 1 3 1 0 0 1 0
## 121 1 3 1 0 0 1 0
## 122 1 3 1 0 0 1 0
## 123 1 3 1 0 0 1 0
## 124 3 1 0 0 1 -1 -1
## 125 2 2 0 1 0 0 1
## 126 3 1 0 0 1 -1 -1
## 127 2 2 0 1 0 0 1
## 128 3 1 0 0 1 -1 -1
## 129 1 3 1 0 0 1 0
## 130 2 2 0 1 0 0 1
## 131 3 1 0 0 1 -1 -1
## 132 1 3 1 0 0 1 0
## 133 3 1 0 0 1 -1 -1
## 134 3 1 0 0 1 -1 -1
## 135 1 3 1 0 0 1 0
## 136 1 3 1 0 0 1 0
## 137 2 2 0 1 0 0 1
## 138 1 3 1 0 0 1 0
## 139 1 3 1 0 0 1 0
## 140 3 1 0 0 1 -1 -1
## 141 3 1 0 0 1 -1 -1
## 142 3 1 0 0 1 -1 -1
## 143 1 3 1 0 0 1 0
## 144 3 1 0 0 1 -1 -1
## 145 3 1 0 0 1 -1 -1
## 146 3 1 0 0 1 -1 -1
## 147 3 1 0 0 1 -1 -1
## 148 3 1 0 0 1 -1 -1
## 149 1 3 1 0 0 1 0
## 150 3 1 0 0 1 -1 -1
## 151 2 2 0 1 0 0 1
## 152 1 3 1 0 0 1 0
## 153 2 2 0 1 0 0 1
## 154 2 2 0 1 0 0 1
## 155 2 2 0 1 0 0 1
## 156 3 1 0 0 1 -1 -1
## 157 1 3 1 0 0 1 0
## 158 1 3 1 0 0 1 0
## 159 1 3 1 0 0 1 0
## 160 3 1 0 0 1 -1 -1
## 161 1 3 1 0 0 1 0
## 162 2 2 0 1 0 0 1
## 163 1 3 1 0 0 1 0
## 164 1 3 1 0 0 1 0
## 165 1 3 1 0 0 1 0
## 166 1 3 1 0 0 1 0
## 167 2 2 0 1 0 0 1
## 168 1 3 1 0 0 1 0
## 169 3 1 0 0 1 -1 -1
## 170 3 1 0 0 1 -1 -1
## 171 3 1 0 0 1 -1 -1
## 172 2 2 0 1 0 0 1
## 173 1 3 1 0 0 1 0
## 174 3 1 0 0 1 -1 -1
## 175 3 1 0 0 1 -1 -1
## 176 1 3 1 0 0 1 0
## 177 3 1 0 0 1 -1 -1
## 178 1 3 1 0 0 1 0
## 179 1 3 1 0 0 1 0
## 180 3 1 0 0 1 -1 -1
## 181 2 2 0 1 0 0 1
## 182 1 3 1 0 0 1 0
## 183 2 2 0 1 0 0 1
## 184 3 1 0 0 1 -1 -1
## 185 1 3 1 0 0 1 0
## 186 2 2 0 1 0 0 1
## 187 1 3 1 0 0 1 0
## 188 1 3 1 0 0 1 0
## 189 2 2 0 1 0 0 1
## 190 2 2 0 1 0 0 1
## 191 2 2 0 1 0 0 1
## 192 3 1 0 0 1 -1 -1
## 193 3 1 0 0 1 -1 -1
## 194 1 3 1 0 0 1 0
## 195 3 1 0 0 1 -1 -1
## 196 1 3 1 0 0 1 0
## 197 3 1 0 0 1 -1 -1
## 198 1 3 1 0 0 1 0
## 199 2 2 0 1 0 0 1
## 200 1 3 1 0 0 1 0
## 201 2 2 0 1 0 0 1
## 202 1 3 1 0 0 1 0
## 203 2 2 0 1 0 0 1
## 204 2 2 0 1 0 0 1
## 205 1 3 1 0 0 1 0
## 206 2 2 0 1 0 0 1
## 207 2 2 0 1 0 0 1
## 208 1 3 1 0 0 1 0
## 209 1 3 1 0 0 1 0
## 210 1 3 1 0 0 1 0
## 211 1 3 1 0 0 1 0
## 212 2 2 0 1 0 0 1
## 213 1 3 1 0 0 1 0
## 214 1 3 1 0 0 1 0
## 215 1 3 1 0 0 1 0
## 216 1 3 1 0 0 1 0
## 217 2 2 0 1 0 0 1
## 218 3 1 0 0 1 -1 -1
## 219 1 3 1 0 0 1 0
## 220 3 1 0 0 1 -1 -1
## 221 1 3 1 0 0 1 0
## 222 1 3 1 0 0 1 0
## 223 3 1 0 0 1 -1 -1
## 224 1 3 1 0 0 1 0
## 225 3 1 0 0 1 -1 -1
## 226 3 1 0 0 1 -1 -1
## 227 3 1 0 0 1 -1 -1
## 228 1 3 1 0 0 1 0
## 229 3 1 0 0 1 -1 -1
## 230 3 1 0 0 1 -1 -1
## 231 1 3 1 0 0 1 0
## 232 3 1 0 0 1 -1 -1
## 233 2 2 0 1 0 0 1
## 234 1 3 1 0 0 1 0
## 235 2 2 0 1 0 0 1
## 236 1 3 1 0 0 1 0
## 237 3 1 0 0 1 -1 -1
## 238 3 1 0 0 1 -1 -1
## 239 3 1 0 0 1 -1 -1
## 240 2 2 0 1 0 0 1
## 241 2 2 0 1 0 0 1
## 242 1 3 1 0 0 1 0
## 243 3 1 0 0 1 -1 -1
## 244 2 2 0 1 0 0 1
## 245 3 1 0 0 1 -1 -1
## 246 1 3 1 0 0 1 0
## 247 1 3 1 0 0 1 0
## 248 2 2 0 1 0 0 1
## 249 2 2 0 1 0 0 1
## 250 3 1 0 0 1 -1 -1
## 251 3 1 0 0 1 -1 -1
## 252 3 1 0 0 1 -1 -1
## 253 3 1 0 0 1 -1 -1
## 254 2 2 0 1 0 0 1
## 255 1 3 1 0 0 1 0
## 256 2 2 0 1 0 0 1
## 257 1 3 1 0 0 1 0
## 258 1 3 1 0 0 1 0
## 259 3 1 0 0 1 -1 -1
## 260 1 3 1 0 0 1 0
## 261 3 1 0 0 1 -1 -1
## 262 2 2 0 1 0 0 1
## 263 1 3 1 0 0 1 0
## 264 2 2 0 1 0 0 1
## 265 2 2 0 1 0 0 1
## 266 3 1 0 0 1 -1 -1
## 267 1 3 1 0 0 1 0
## 268 3 1 0 0 1 -1 -1
## 269 2 2 0 1 0 0 1
## 270 1 3 1 0 0 1 0
## 271 1 3 1 0 0 1 0
## 272 3 1 0 0 1 -1 -1
## 273 3 1 0 0 1 -1 -1
## 274 3 1 0 0 1 -1 -1
## 275 1 3 1 0 0 1 0
## 276 2 2 0 1 0 0 1
## 277 3 1 0 0 1 -1 -1
## 278 3 1 0 0 1 -1 -1
## 279 2 2 0 1 0 0 1
## 280 3 1 0 0 1 -1 -1
## 281 1 3 1 0 0 1 0
## 282 2 2 0 1 0 0 1
## 283 3 1 0 0 1 -1 -1
## 284 3 1 0 0 1 -1 -1
## 285 2 2 0 1 0 0 1
## 286 2 2 0 1 0 0 1
## 287 1 3 1 0 0 1 0
## 288 2 2 0 1 0 0 1
## 289 2 2 0 1 0 0 1
## 290 3 1 0 0 1 -1 -1
## 291 3 1 0 0 1 -1 -1
## 292 2 2 0 1 0 0 1
## 293 1 3 1 0 0 1 0
## 294 2 2 0 1 0 0 1
## 295 3 1 0 0 1 -1 -1
## 296 1 3 1 0 0 1 0
## 297 3 1 0 0 1 -1 -1
## 298 2 2 0 1 0 0 1
## 299 1 3 1 0 0 1 0
## 300 3 1 0 0 1 -1 -1
## 301 2 2 0 1 0 0 1
## 302 1 3 1 0 0 1 0
## 303 3 1 0 0 1 -1 -1
## 304 1 3 1 0 0 1 0
## 305 2 2 0 1 0 0 1
## 306 1 3 1 0 0 1 0
## 307 2 2 0 1 0 0 1
## 308 2 2 0 1 0 0 1
## 309 2 2 0 1 0 0 1
## 310 2 2 0 1 0 0 1
## 311 3 1 0 0 1 -1 -1
## 312 1 3 1 0 0 1 0
## 313 1 3 1 0 0 1 0
## 314 1 3 1 0 0 1 0
## 315 1 3 1 0 0 1 0modelVitEC=lm(mydata$Cholesterol~mydata$vitReg1+mydata$vitOcc1)
modelVitEC##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$vitReg1 + mydata$vitOcc1)
##
## Coefficients:
## (Intercept) mydata$vitReg1 mydata$vitOcc1
## 242.911 -6.220 2.532summary(modelVitEC)##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$vitReg1 + mydata$vitOcc1)
##
## Residuals:
## Min 1Q Median 3Q Max
## -208.90 -88.30 -35.00 66.83 664.01
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 242.911 7.564 32.116 <2e-16 ***
## mydata$vitReg1 -6.220 10.250 -0.607 0.544
## mydata$vitOcc1 2.532 11.331 0.223 0.823
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 132.3 on 312 degrees of freedom
## Multiple R-squared: 0.001223, Adjusted R-squared: -0.005179
## F-statistic: 0.1911 on 2 and 312 DF, p-value: 0.8262anova(modelVitEC)## Analysis of Variance Table
##
## Response: mydata$Cholesterol
## Df Sum Sq Mean Sq F value Pr(>F)
## mydata$vitReg1 1 5817 5817.3 0.3322 0.5648
## mydata$vitOcc1 1 874 874.2 0.0499 0.8233
## Residuals 312 5463749 17512.0plot(mydata$Cholesterol~mydata$vitReg1+mydata$vitOcc1)
plot(modelVitEC)
mydata$AlcoholNum[mydata$Alcohol == 0] <- 0
mydata$AlcoholNum[mydata$Alcohol > 0 & mydata$Alcohol < 10] <- 1
mydata$AlcoholNum[mydata$Alcohol >= 10] <- 2
mydata## ID Age Smoke Quetelet Calories Fat Fiber Alcohol Cholesterol BetaDiet
## 1 1 64 No 21.4838 1298.8 57.0 6.3 0.0 170.3 1945
## 2 2 76 No 23.8763 1032.5 50.1 15.8 0.0 75.8 2653
## 3 3 38 No 20.0108 2372.3 83.6 19.1 14.1 257.9 6321
## 4 4 40 No 25.1406 2449.5 97.5 26.5 0.5 332.6 1061
## 5 5 72 No 20.9850 1952.1 82.6 16.2 0.0 170.8 2863
## 6 6 40 No 27.5214 1366.9 56.0 9.6 1.3 154.6 1729
## 7 7 65 No 22.0115 2213.9 52.0 28.7 0.0 255.1 5371
## 8 8 58 No 28.7570 1595.6 63.4 10.9 0.0 214.1 823
## 9 9 35 No 23.0766 1800.5 57.8 20.3 0.6 233.6 2895
## 10 10 55 No 34.9699 1263.6 39.6 15.5 0.0 171.9 3307
## 11 11 66 No 20.9465 1460.8 58.0 18.2 1.0 137.4 1714
## 12 12 40 No 36.4316 1638.2 49.3 14.9 0.0 130.7 2031
## 13 13 57 No 31.7304 2072.9 106.7 9.6 0.9 420.0 1982
## 14 14 66 No 21.7885 987.5 35.6 10.3 0.0 254.9 2120
## 15 15 66 No 27.3192 1574.3 75.0 7.1 0.0 361.5 1388
## 16 16 64 No 31.4467 2868.5 128.8 15.0 20.0 379.5 3888
## 17 17 62 No 25.9025 1751.1 80.7 8.4 14.1 160.3 2194
## 18 18 75 No 29.1526 1407.6 35.0 20.8 7.0 144.1 3470
## 19 19 68 No 38.1873 1628.5 78.6 11.6 0.0 512.3 2108
## 20 20 57 No 25.8967 1101.4 48.5 8.5 5.0 197.2 1157
## 21 21 56 No 24.4588 2433.6 127.6 19.9 7.1 271.2 1739
## 22 22 30 No 22.7212 1437.3 61.5 8.8 2.3 160.9 1008
## 23 23 34 No 24.0812 2062.7 81.1 13.6 18.0 190.5 606
## 24 24 53 No 23.1598 1276.5 50.1 9.0 4.7 143.5 1380
## 25 25 60 No 49.1203 2114.8 77.6 14.9 0.5 239.9 4916
## 26 26 50 No 23.0766 1113.0 32.8 12.9 3.0 104.8 4451
## 27 27 62 No 33.7244 1323.0 60.8 11.4 0.0 155.8 5983
## 28 28 61 No 25.1827 2837.3 84.2 33.8 0.0 192.1 2413
## 29 29 65 No 28.9498 2055.9 111.8 15.9 0.0 226.5 3087
## 30 30 71 No 24.6800 1285.8 55.4 10.6 2.0 353.4 521
## 31 31 43 No 28.4015 1786.9 93.9 10.6 0.0 247.0 2431
## 32 32 33 No 20.5696 3144.8 155.0 17.6 4.1 308.8 3141
## 33 33 74 Yes 16.3311 1241.0 53.1 10.8 0.1 206.1 1668
## 34 34 41 No 21.0312 2419.3 122.7 16.2 0.3 325.2 4366
## 35 35 56 No 22.6438 2712.7 145.3 13.4 8.0 242.6 494
## 36 36 44 Yes 25.8787 1810.0 95.3 17.5 0.0 253.1 7026
## 37 37 37 No 35.3601 1778.1 75.9 10.8 0.5 332.6 1529
## 38 38 37 No 25.9400 1147.9 47.6 7.3 0.1 117.0 241
## 39 39 39 Yes 21.9991 1951.4 109.1 4.7 0.0 461.1 998
## 40 40 37 No 22.5121 2035.5 65.7 22.1 0.7 205.3 6082
## 41 41 53 No 27.4927 1248.6 56.9 8.2 0.0 223.2 2741
## 42 42 66 No 27.4961 3184.8 199.0 16.8 0.2 362.6 2100
## 43 43 58 No 24.1797 1538.1 78.7 14.2 0.9 231.2 2359
## 44 44 31 Yes 23.3459 1456.5 56.6 8.5 1.0 182.7 603
## 45 45 49 No 21.6784 1656.3 59.5 13.3 0.1 180.3 1625
## 46 46 75 No 21.3291 1396.8 53.3 13.2 3.2 99.3 2888
## 47 47 62 No 33.7442 1588.1 88.9 7.4 0.0 362.6 1099
## 48 48 56 No 32.0748 1566.5 95.2 6.5 7.2 408.0 2103
## 49 49 69 No 31.6684 827.9 32.8 8.7 0.0 79.8 2260
## 50 50 50 Yes 25.1119 2340.4 110.4 11.3 14.0 260.7 452
## 51 51 50 No 20.4034 1902.9 72.9 35.4 7.3 175.6 3549
## 52 52 72 No 39.2229 1111.9 47.2 10.2 0.2 69.4 2204
## 53 53 60 No 19.9326 1333.8 37.1 16.9 6.5 84.0 4964
## 54 54 55 No 21.6362 1896.1 82.2 9.3 10.0 296.8 1052
## 55 55 43 No 29.0047 1472.7 61.8 12.2 0.0 216.3 3572
## 56 56 29 No 18.8340 2237.4 77.6 22.6 0.7 180.6 2902
## 57 57 44 Yes 29.1135 1446.2 63.2 9.5 3.2 208.8 1788
## 58 58 48 No 32.3483 2908.5 139.1 16.4 0.2 511.6 5111
## 59 59 38 No 23.8573 2190.7 96.9 17.7 1.3 192.1 1378
## 60 60 33 No 19.4090 1878.2 81.6 9.6 4.9 265.8 1431
## 61 61 56 No 16.6367 1436.8 57.2 9.4 0.0 183.3 1727
## 62 62 65 Yes 23.3762 6662.2 164.3 11.3 203.0 603.0 2893
## 63 63 48 No 30.2950 2893.3 125.8 18.8 1.7 256.7 2524
## 64 64 66 No 22.5743 1902.4 76.7 17.7 3.1 216.7 2533
## 65 65 78 No 26.3675 1531.6 69.5 5.4 0.0 168.0 982
## 66 66 65 No 23.5424 1220.7 34.6 16.5 5.6 152.8 1535
## 67 67 72 No 22.0119 1247.7 46.8 10.2 0.0 347.9 326
## 68 68 31 Yes 21.0778 1631.5 75.2 8.5 0.7 277.1 1487
## 69 69 74 No 25.7393 818.1 34.3 6.6 3.7 55.4 1114
## 70 70 61 No 25.1827 1570.1 58.7 19.3 2.0 158.3 1080
## 71 71 83 No 25.2068 1331.2 50.6 7.7 0.3 380.7 2492
## 72 72 46 No 30.7096 2052.4 120.4 10.2 0.0 195.2 1349
## 73 73 62 No 23.9217 1823.0 80.3 17.4 6.2 256.8 6948
## 74 74 56 Yes 20.6410 1743.8 85.3 13.2 7.2 349.6 1086
## 75 75 33 No 26.6369 3457.2 166.0 17.5 10.5 452.8 2629
## 76 76 45 No 22.3611 1126.7 20.4 12.5 7.2 71.8 1307
## 77 77 41 No 23.0939 3258.3 101.2 26.2 0.5 341.7 1306
## 78 78 73 No 24.6800 2833.7 119.9 14.6 18.2 365.0 3465
## 79 79 31 No 21.3314 2264.3 105.5 13.4 3.2 396.5 1846
## 80 80 50 No 25.1199 2026.0 85.5 11.2 21.0 268.2 1334
## 81 81 65 No 28.4020 1747.6 83.6 10.9 0.0 244.8 4848
## 82 82 35 Yes 21.8340 1575.5 53.9 7.0 1.0 216.2 1734
## 83 83 42 No 29.0357 1785.4 94.1 10.0 0.7 288.0 1120
## 84 84 19 No 29.2415 2558.9 116.1 12.3 0.0 324.5 1498
## 85 85 37 No 19.9861 839.0 29.2 4.7 6.4 66.5 330
## 86 86 44 No 24.0812 2391.3 95.4 20.6 0.0 283.3 5909
## 87 87 36 No 23.3459 1887.4 110.2 6.0 0.1 211.7 3326
## 88 88 53 Yes 25.1406 2798.2 125.9 17.7 7.0 239.0 2110
## 89 89 69 Yes 27.2289 2654.9 126.0 23.3 0.0 248.0 2719
## 90 90 74 No 27.9862 1202.0 46.6 11.4 0.0 59.2 2309
## 91 91 70 No 22.5331 1235.9 51.1 9.6 3.0 142.0 1153
## 92 92 56 No 26.3173 2225.1 111.5 10.4 6.8 283.7 1432
## 93 93 77 No 27.7905 866.9 31.0 9.8 0.2 59.7 2493
## 94 94 73 No 24.4172 1666.8 76.5 13.3 0.0 747.5 3054
## 95 95 43 No 23.0381 3711.0 202.7 14.9 18.0 469.2 1861
## 96 96 41 No 23.6169 1055.0 33.2 12.9 0.9 220.0 4268
## 97 97 22 No 27.0053 2733.0 123.8 5.1 0.3 440.3 1652
## 98 98 44 No 23.4605 1660.1 80.3 13.6 0.1 89.0 1802
## 99 99 51 No 25.1571 1952.7 63.8 17.9 11.0 201.3 2308
## 100 100 46 Yes 35.2597 2667.5 131.6 10.1 0.0 550.5 1210
## 101 101 25 Yes 20.6410 1517.4 59.1 5.9 0.0 127.6 214
## 102 102 69 No 23.0056 1711.4 98.2 10.8 0.3 332.4 1370
## 103 103 69 No 25.2317 1756.4 82.3 8.8 0.0 500.3 2354
## 104 104 58 No 27.3369 2186.2 99.3 14.9 0.2 263.8 2446
## 105 105 77 No 25.8813 2075.2 75.6 21.4 0.0 228.8 3473
## 106 106 67 No 24.7353 2021.2 94.8 13.3 8.0 417.6 3359
## 107 107 37 No 29.3256 1653.2 77.3 12.5 1.0 162.6 1062
## 108 108 47 No 21.1882 1076.6 33.4 22.5 4.1 138.8 1489
## 109 109 60 Yes 19.6773 1506.7 76.3 14.6 0.0 239.2 3982
## 110 110 49 No 25.0700 1511.7 54.4 16.1 4.2 200.5 1656
## 111 111 83 No 25.5977 1933.6 98.8 11.1 0.0 224.7 768
## 112 112 56 No 22.0119 1830.0 52.8 13.8 8.5 689.4 1496
## 113 113 39 No 30.2913 1256.7 43.7 5.3 0.3 133.6 683
## 114 114 41 No 41.8559 1823.7 54.7 14.6 0.0 188.0 885
## 115 115 37 Yes 28.3357 1902.8 81.7 8.2 0.0 178.6 1662
## 116 116 66 No 26.5081 958.5 37.7 8.3 0.0 108.6 1552
## 117 117 55 No 21.0778 2328.3 112.6 13.9 2.9 281.9 2144
## 118 118 49 No 39.4650 1574.0 74.6 14.1 0.0 440.6 3567
## 119 119 31 No 18.9836 1646.2 52.2 13.2 5.0 174.9 1423
## 120 120 64 No 18.8783 1828.0 63.4 14.7 0.0 87.9 1293
## 121 121 57 No 23.2212 1288.7 63.2 10.6 0.0 200.2 2111
## 122 122 42 Yes 26.8491 1084.3 25.2 21.8 1.0 105.7 2874
## 123 123 40 No 25.8813 2431.9 93.7 17.8 0.1 364.6 1699
## 124 124 73 Yes 19.4090 2453.5 118.5 10.3 0.0 516.5 954
## 125 125 37 No 19.5708 1645.7 76.0 6.6 4.0 225.9 1368
## 126 126 43 No 20.2970 2075.9 96.5 17.3 7.0 271.8 3318
## 127 127 66 No 26.4205 1563.7 73.3 12.0 1.1 300.9 2247
## 128 128 26 No 20.3795 1663.3 64.6 7.6 2.0 124.7 910
## 129 129 45 No 29.2415 1601.4 93.9 8.8 0.0 255.8 1171
## 130 130 74 No 30.2950 1718.9 57.9 15.0 1.2 272.7 2077
## 131 131 49 No 21.4790 1010.6 29.4 9.1 6.2 98.8 1210
## 132 132 41 No 19.4090 1372.7 61.6 9.5 0.0 182.5 1826
## 133 133 74 No 27.3192 1837.0 76.9 13.6 0.0 383.6 2628
## 134 134 38 Yes 21.8451 1662.7 58.7 15.7 3.7 163.7 561
## 135 135 83 No 22.2224 1534.7 54.9 26.3 0.0 77.5 1893
## 136 136 70 No 28.0470 2005.8 89.5 8.5 0.1 121.2 1312
## 137 137 39 No 26.0943 1187.8 32.8 11.6 0.0 154.9 1913
## 138 138 65 No 21.5851 1446.2 56.8 10.8 0.0 127.9 924
## 139 139 72 No 21.0312 976.7 68.4 3.1 0.0 99.6 728
## 140 140 46 No 23.6773 2706.7 104.9 16.8 22.0 416.0 4387
## 141 141 46 No 30.0587 1546.0 73.6 10.3 7.0 284.8 1976
## 142 142 51 No 34.1851 1324.0 46.0 12.7 0.0 151.0 2422
## 143 143 39 No 24.0812 1368.9 61.6 14.4 6.7 314.9 1407
## 144 144 33 Yes 20.1613 3228.0 141.1 14.4 0.0 718.8 1301
## 145 145 49 No 31.7263 2825.8 97.8 7.5 35.0 374.3 1112
## 146 146 44 No 23.3932 1220.9 35.1 14.0 0.0 99.2 1052
## 147 147 69 No 24.2613 1174.7 47.4 9.9 0.1 89.9 1008
## 148 148 52 No 27.8335 828.2 52.3 6.1 1.2 141.1 1054
## 149 149 82 No 20.2177 1708.1 94.2 15.1 2.0 224.7 1484
## 150 150 46 No 23.4786 1182.9 60.2 5.2 0.2 164.5 657
## 151 151 25 No 22.7051 928.4 29.7 6.0 0.5 120.7 604
## 152 152 54 No 37.8687 4373.6 235.9 22.9 0.1 814.7 2912
## 153 153 70 No 25.7393 1387.7 55.2 11.2 0.0 114.0 869
## 154 154 35 No 18.4385 1555.6 72.8 11.5 0.0 174.1 1578
## 155 155 46 No 33.1948 1581.7 64.1 12.3 0.1 170.1 1210
## 156 156 70 No 29.5966 1397.4 60.5 9.2 0.0 228.5 1554
## 157 157 71 No 22.1532 1305.4 43.3 10.2 0.0 72.7 3445
## 158 158 59 No 26.8868 1249.6 24.2 14.7 0.0 97.2 3014
## 159 159 42 No 20.5412 2347.3 104.4 12.5 0.0 249.3 1666
## 160 160 46 No 39.4062 1207.1 42.8 11.6 0.0 155.1 1462
## 161 161 37 No 33.3723 1688.1 45.0 17.1 0.8 141.1 1272
## 162 162 39 No 21.9409 1719.3 49.7 18.4 11.0 164.6 5296
## 163 163 43 No 25.5828 2501.6 121.1 19.5 0.0 343.0 5605
## 164 164 23 No 20.1259 2219.1 120.9 13.1 2.0 415.8 2430
## 165 165 45 No 20.2398 1827.7 71.2 10.4 2.0 267.5 2375
## 166 166 63 No 23.9217 1282.3 26.4 13.6 0.1 100.6 3753
## 167 167 44 Yes 28.3486 1427.2 60.6 8.3 0.2 195.0 695
## 168 168 43 No 20.4034 2000.8 86.7 14.8 0.9 200.9 1649
## 169 169 33 No 27.8695 1622.4 71.5 12.9 1.0 214.8 2317
## 170 170 35 No 34.0818 3114.0 160.2 14.9 0.2 432.3 1702
## 171 171 50 No 23.0716 2012.0 112.9 14.3 6.5 456.9 1007
## 172 172 50 No 29.0157 2106.4 97.0 12.9 0.0 344.3 2308
## 173 173 59 No 25.5977 1546.6 72.9 15.1 0.7 192.8 4694
## 174 174 38 No 23.0766 1149.0 43.6 8.6 10.5 122.5 2749
## 175 175 60 No 29.7475 659.3 22.2 7.0 0.1 102.0 1497
## 176 176 54 No 19.1770 1580.6 82.9 9.4 5.2 98.3 1171
## 177 177 71 No 24.4634 1850.5 75.9 16.1 7.2 247.9 3054
## 178 178 48 No 22.5319 1242.1 37.5 13.3 1.0 148.4 1488
## 179 179 49 No 32.0177 1099.4 56.9 5.2 0.5 169.9 829
## 180 180 27 Yes 29.2415 1127.6 59.4 7.4 0.0 183.4 1037
## 181 181 27 Yes 25.4454 2919.5 125.3 14.3 1.0 370.0 846
## 182 182 75 No 21.5278 1049.1 51.7 8.0 0.0 188.9 1382
## 183 183 45 No 26.4205 1366.6 42.5 12.9 2.5 141.2 3407
## 184 184 35 No 30.4455 1884.8 91.6 11.1 5.0 518.0 758
## 185 185 56 No 33.5921 1494.5 59.1 6.8 0.0 111.5 599
## 186 186 41 Yes 27.5214 1444.6 89.1 6.8 0.0 280.1 1073
## 187 187 48 No 32.9913 445.2 14.4 5.0 0.0 102.8 862
## 188 188 48 No 21.8351 1849.8 80.6 13.8 3.2 549.1 4291
## 189 189 32 No 20.1579 1678.2 54.3 12.9 1.5 147.3 1668
## 190 190 38 No 46.7376 1390.4 55.7 10.8 0.0 195.1 2809
## 191 191 52 No 33.2962 1749.9 81.3 12.1 0.0 226.5 2373
## 192 192 40 No 24.0103 742.3 36.5 5.9 2.1 133.9 1850
## 193 193 44 No 23.0716 1148.5 50.3 7.1 0.1 139.2 1352
## 194 194 70 No 22.4821 1730.6 72.9 14.4 0.2 363.1 2315
## 195 195 55 Yes 29.0357 1162.5 54.0 5.6 0.2 175.2 1417
## 196 196 48 No 20.2177 1738.9 63.5 12.2 0.5 205.9 4504
## 197 197 38 No 20.7176 1432.1 58.5 6.3 0.2 131.9 998
## 198 198 49 No 20.4034 3098.9 106.2 25.2 1.2 447.6 4430
## 199 199 36 No 32.9594 2342.3 95.8 19.2 1.7 389.4 3201
## 200 200 64 No 21.5011 2319.9 97.6 22.3 0.0 155.3 3686
## 201 201 49 No 23.6794 1292.8 43.1 10.6 11.0 180.7 2131
## 202 202 49 Yes 22.7216 784.4 40.6 4.9 3.0 97.4 852
## 203 203 43 No 22.9146 2038.5 80.7 17.1 0.0 232.3 2781
## 204 204 33 No 23.9378 1366.8 55.9 6.2 0.0 196.0 1151
## 205 205 38 No 26.0943 1550.0 66.8 12.1 0.0 253.2 3970
## 206 206 36 No 19.7664 1240.7 50.9 6.9 0.3 116.0 808
## 207 207 33 No 21.6734 2814.6 111.2 16.8 0.0 399.3 843
## 208 208 47 No 20.8130 1612.5 45.5 9.0 15.0 149.9 2537
## 209 209 53 No 40.6892 1576.3 54.8 13.5 0.1 308.9 2205
## 210 210 41 No 29.1423 1197.7 54.5 4.9 0.0 135.6 587
## 211 211 36 No 21.0778 2045.3 84.8 13.2 0.7 271.9 3591
## 212 212 32 No 35.9753 3328.4 163.3 20.0 4.1 425.5 3434
## 213 213 57 No 26.9429 2513.3 98.9 10.6 0.0 428.1 2869
## 214 214 42 No 21.6784 1737.4 62.1 16.3 0.2 211.7 2515
## 215 215 37 Yes 27.2655 1034.4 34.5 8.9 0.0 118.5 807
## 216 216 52 No 32.6718 2083.9 93.1 8.8 0.0 328.1 766
## 217 217 45 Yes 28.7254 1481.8 75.3 10.4 0.2 336.9 720
## 218 218 42 No 20.7690 1051.2 44.0 10.9 0.2 165.5 516
## 219 219 42 No 21.2065 1730.1 58.3 16.6 4.5 196.1 3785
## 220 220 41 Yes 20.7176 1102.8 56.6 5.3 0.0 329.8 1436
## 221 221 41 No 26.3117 1496.7 64.6 5.9 1.0 239.8 613
## 222 222 26 Yes 20.5412 1987.2 76.6 9.8 0.0 156.1 1460
## 223 223 70 No 20.1613 2017.2 136.0 7.6 0.0 195.8 2251
## 224 224 44 No 26.3675 1525.6 85.4 7.9 0.1 179.4 2029
## 225 225 46 No 28.4020 1342.2 69.7 5.9 1.0 215.4 8046
## 226 226 22 No 50.4033 1511.7 64.4 10.2 0.0 190.3 1074
## 227 227 46 Yes 21.6784 1570.1 74.1 13.7 0.9 145.7 3556
## 228 228 32 No 20.0560 2703.4 120.6 11.4 0.1 284.3 1218
## 229 229 27 No 23.8763 1200.6 61.5 8.7 1.5 208.7 2199
## 230 230 52 No 37.1113 1891.6 73.8 17.6 0.0 226.0 5810
## 231 231 42 No 36.5973 1434.9 59.3 11.2 0.0 281.1 1214
## 232 232 34 No 28.5795 2118.1 93.0 20.1 0.0 170.0 2215
## 233 233 36 No 40.2953 1414.6 51.2 13.7 0.0 135.8 1678
## 234 234 59 No 24.8040 2192.3 78.7 14.2 0.0 173.5 2579
## 235 235 75 No 36.4737 1380.6 54.5 13.5 0.1 201.6 925
## 236 236 43 No 45.8581 1626.3 72.2 7.9 0.0 157.5 404
## 237 237 56 No 30.4824 2210.7 113.1 10.5 6.1 340.1 2008
## 238 238 48 No 19.7039 1600.7 77.7 11.2 7.2 180.1 2469
## 239 239 34 Yes 21.9638 1076.2 52.7 6.1 0.0 78.3 755
## 240 240 37 No 23.3459 2094.5 78.9 17.3 1.0 193.4 1718
## 241 241 41 No 31.8216 1823.0 74.8 12.1 1.3 196.9 2133
## 242 242 74 No 23.3459 1512.1 73.8 8.7 5.7 182.8 1167
## 243 243 73 No 21.0113 840.6 34.3 8.2 0.1 81.1 619
## 244 244 53 Yes 19.7810 1996.1 98.8 9.2 0.0 436.8 908
## 245 245 74 No 21.1364 2171.6 76.6 20.4 0.0 176.3 3690
## 246 246 77 No 24.3272 1481.4 55.0 11.2 0.0 191.7 3425
## 247 247 39 No 21.1781 1829.2 79.0 15.6 0.0 178.4 2787
## 248 248 29 No 18.6003 1041.6 45.4 6.0 3.0 139.5 675
## 249 249 37 No 44.9106 2010.4 101.2 16.0 0.1 362.4 2142
## 250 250 47 No 23.9642 2120.8 77.4 17.0 8.4 185.9 2299
## 251 251 64 No 21.2065 1008.4 35.4 5.6 14.0 37.7 544
## 252 252 36 No 42.8886 798.2 30.6 7.9 2.4 46.3 604
## 253 253 42 No 20.4172 3099.2 134.9 19.0 0.8 469.3 6558
## 254 254 64 No 25.6599 2055.7 114.4 13.0 0.0 248.4 2661
## 255 255 38 No 20.7029 2585.3 129.8 21.1 4.0 429.5 7362
## 256 256 39 No 28.4015 1906.5 86.4 10.4 15.5 265.9 2583
## 257 257 40 No 31.2422 3014.9 165.7 14.4 0.0 900.7 1028
## 258 258 29 No 37.9400 1631.0 55.6 13.8 0.5 189.5 3435
## 259 259 71 No 24.9883 1399.5 66.5 9.6 8.0 260.0 1527
## 260 260 45 No 23.4316 2319.0 122.1 13.4 0.1 305.7 2047
## 261 261 63 No 18.9209 1655.9 70.8 15.1 0.1 177.3 2897
## 262 262 46 No 24.2613 1422.8 58.3 7.8 7.1 206.3 1987
## 263 263 75 No 21.6784 2511.5 92.3 36.8 0.6 228.3 4271
## 264 264 46 No 35.1907 740.6 38.5 5.3 0.0 113.9 868
## 265 265 44 No 22.5440 1292.6 49.4 10.4 1.2 186.5 578
## 266 266 24 No 31.9972 3021.9 171.0 11.4 0.1 466.3 953
## 267 267 32 No 22.5121 1918.4 63.1 16.1 5.0 202.2 1048
## 268 268 66 No 22.6438 2086.6 72.3 16.0 0.0 112.8 1439
## 269 269 43 No 26.3475 3449.7 172.8 20.5 1.4 381.3 3324
## 270 270 73 No 24.9412 1186.4 46.1 10.5 1.5 119.7 921
## 271 271 54 No 25.7501 1724.7 75.1 18.2 0.0 173.3 1192
## 272 272 44 Yes 29.9774 1877.4 92.2 7.7 0.2 211.6 1665
## 273 273 55 No 22.8771 2272.6 94.5 10.9 14.2 269.2 3610
## 274 274 70 Yes 23.8270 1514.4 51.7 14.2 7.0 97.5 3317
## 275 275 32 No 25.4573 2170.3 95.1 15.2 0.2 175.2 3313
## 276 276 33 No 23.2690 2271.1 114.6 10.4 0.0 574.2 1270
## 277 277 49 No 22.5064 1469.9 50.4 12.1 0.7 118.8 1915
## 278 278 69 No 44.2062 2332.2 109.6 19.7 0.1 286.7 4013
## 279 279 38 No 20.7173 1619.3 83.7 8.4 0.5 310.1 902
## 280 280 34 Yes 34.0818 1148.7 41.7 9.8 1.0 173.4 2247
## 281 281 49 No 20.0895 2512.0 64.9 30.2 0.6 168.5 4832
## 282 282 40 Yes 18.3432 833.0 38.8 5.5 0.0 145.3 577
## 283 283 41 No 28.0470 1808.4 61.5 10.5 17.0 176.1 1884
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## 285 285 28 No 20.1250 1600.9 68.0 14.2 0.2 171.2 3102
## 286 286 78 No 41.6857 647.7 30.9 3.7 0.0 87.5 1186
## 287 287 67 No 30.7309 849.2 25.4 10.9 0.0 91.7 1237
## 288 288 51 No 24.9082 2166.9 105.8 15.6 0.0 349.1 4098
## 289 289 29 Yes 26.6874 2476.2 121.1 14.3 0.0 263.5 2889
## 290 290 36 Yes 25.7393 1959.3 112.4 6.7 0.5 326.7 1097
## 291 291 43 No 18.5769 1695.3 62.4 17.7 0.0 147.3 570
## 292 292 55 No 25.4258 2307.8 111.0 18.4 3.4 487.8 2627
## 293 293 54 No 24.9550 1392.2 47.8 12.9 0.0 87.5 849
## 294 294 32 No 39.5620 3511.1 114.7 13.9 0.2 444.7 2174
## 295 295 65 No 26.7596 1276.0 60.5 12.0 3.5 87.3 1456
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## 298 298 73 No 25.8473 853.1 29.8 6.3 10.0 160.5 1022
## 299 299 71 No 21.8109 1215.8 43.8 12.3 5.0 110.8 2079
## 300 300 47 No 37.2776 1927.6 92.5 10.7 0.0 359.1 406
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## 303 303 41 No 34.6149 2046.9 103.0 13.1 0.0 334.2 1745
## 304 304 33 No 18.5769 1835.9 74.1 23.0 0.7 184.2 2121
## 305 305 73 Yes 20.7112 1678.5 82.3 6.3 14.1 249.5 1078
## 306 306 67 No 26.9429 1049.2 44.6 9.6 0.0 247.2 2672
## 307 307 66 No 33.1076 1762.1 72.9 16.5 0.0 240.3 4935
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## 309 309 36 No 24.7434 2838.8 88.5 24.0 4.5 252.4 9642
## 310 310 48 No 24.6147 2021.1 72.2 16.6 9.0 299.1 1392
## 311 311 46 No 25.8967 2263.6 98.2 19.4 2.6 306.5 2572
## 312 312 45 No 23.8270 1841.1 84.2 14.1 2.2 257.7 1665
## 313 313 49 No 24.2613 1125.6 44.8 11.9 4.0 150.5 6943
## 314 314 31 No 23.4525 2729.6 144.4 13.2 2.2 381.8 741
## 315 315 45 No 26.5081 1627.0 77.4 9.9 0.2 195.6 1242
## RetinolDiet BetaPlasma RetinolPlasma Gender VitaminUse PriorSmoke
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## 2 451 124 727 Female Regular 1
## 3 660 328 721 Female Occasional 2
## 4 864 153 615 Female No 2
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## 263 1 3 1 0 0 1 0 1
## 264 2 2 0 1 0 0 1 0
## 265 2 2 0 1 0 0 1 1
## 266 3 1 0 0 1 -1 -1 1
## 267 1 3 1 0 0 1 0 1
## 268 3 1 0 0 1 -1 -1 0
## 269 2 2 0 1 0 0 1 1
## 270 1 3 1 0 0 1 0 1
## 271 1 3 1 0 0 1 0 0
## 272 3 1 0 0 1 -1 -1 1
## 273 3 1 0 0 1 -1 -1 2
## 274 3 1 0 0 1 -1 -1 1
## 275 1 3 1 0 0 1 0 1
## 276 2 2 0 1 0 0 1 0
## 277 3 1 0 0 1 -1 -1 1
## 278 3 1 0 0 1 -1 -1 1
## 279 2 2 0 1 0 0 1 1
## 280 3 1 0 0 1 -1 -1 1
## 281 1 3 1 0 0 1 0 1
## 282 2 2 0 1 0 0 1 0
## 283 3 1 0 0 1 -1 -1 2
## 284 3 1 0 0 1 -1 -1 0
## 285 2 2 0 1 0 0 1 1
## 286 2 2 0 1 0 0 1 0
## 287 1 3 1 0 0 1 0 0
## 288 2 2 0 1 0 0 1 0
## 289 2 2 0 1 0 0 1 0
## 290 3 1 0 0 1 -1 -1 1
## 291 3 1 0 0 1 -1 -1 0
## 292 2 2 0 1 0 0 1 1
## 293 1 3 1 0 0 1 0 0
## 294 2 2 0 1 0 0 1 1
## 295 3 1 0 0 1 -1 -1 1
## 296 1 3 1 0 0 1 0 2
## 297 3 1 0 0 1 -1 -1 1
## 298 2 2 0 1 0 0 1 2
## 299 1 3 1 0 0 1 0 1
## 300 3 1 0 0 1 -1 -1 0
## 301 2 2 0 1 0 0 1 1
## 302 1 3 1 0 0 1 0 1
## 303 3 1 0 0 1 -1 -1 0
## 304 1 3 1 0 0 1 0 1
## 305 2 2 0 1 0 0 1 2
## 306 1 3 1 0 0 1 0 0
## 307 2 2 0 1 0 0 1 0
## 308 2 2 0 1 0 0 1 2
## 309 2 2 0 1 0 0 1 1
## 310 2 2 0 1 0 0 1 1
## 311 3 1 0 0 1 -1 -1 1
## 312 1 3 1 0 0 1 0 1
## 313 1 3 1 0 0 1 0 1
## 314 1 3 1 0 0 1 0 1
## 315 1 3 1 0 0 1 0 1mydata$AlcoholNumHi[mydata$Alcohol >= 10] <- 1
mydata$AlcoholNumHi[mydata$Alcohol == 0] <- -1
mydata$AlcoholNumHi[mydata$Alcohol > 0 & mydata$Alcohol < 10] <- 0
mydata$AlcoholNumMid[mydata$Alcohol >= 10] <- 0
mydata$AlcoholNumMid[mydata$Alcohol == 0] <- -1
mydata$AlcoholNumMid[mydata$Alcohol > 0 & mydata$Alcohol < 10] <- 1
mydata## ID Age Smoke Quetelet Calories Fat Fiber Alcohol Cholesterol BetaDiet
## 1 1 64 No 21.4838 1298.8 57.0 6.3 0.0 170.3 1945
## 2 2 76 No 23.8763 1032.5 50.1 15.8 0.0 75.8 2653
## 3 3 38 No 20.0108 2372.3 83.6 19.1 14.1 257.9 6321
## 4 4 40 No 25.1406 2449.5 97.5 26.5 0.5 332.6 1061
## 5 5 72 No 20.9850 1952.1 82.6 16.2 0.0 170.8 2863
## 6 6 40 No 27.5214 1366.9 56.0 9.6 1.3 154.6 1729
## 7 7 65 No 22.0115 2213.9 52.0 28.7 0.0 255.1 5371
## 8 8 58 No 28.7570 1595.6 63.4 10.9 0.0 214.1 823
## 9 9 35 No 23.0766 1800.5 57.8 20.3 0.6 233.6 2895
## 10 10 55 No 34.9699 1263.6 39.6 15.5 0.0 171.9 3307
## 11 11 66 No 20.9465 1460.8 58.0 18.2 1.0 137.4 1714
## 12 12 40 No 36.4316 1638.2 49.3 14.9 0.0 130.7 2031
## 13 13 57 No 31.7304 2072.9 106.7 9.6 0.9 420.0 1982
## 14 14 66 No 21.7885 987.5 35.6 10.3 0.0 254.9 2120
## 15 15 66 No 27.3192 1574.3 75.0 7.1 0.0 361.5 1388
## 16 16 64 No 31.4467 2868.5 128.8 15.0 20.0 379.5 3888
## 17 17 62 No 25.9025 1751.1 80.7 8.4 14.1 160.3 2194
## 18 18 75 No 29.1526 1407.6 35.0 20.8 7.0 144.1 3470
## 19 19 68 No 38.1873 1628.5 78.6 11.6 0.0 512.3 2108
## 20 20 57 No 25.8967 1101.4 48.5 8.5 5.0 197.2 1157
## 21 21 56 No 24.4588 2433.6 127.6 19.9 7.1 271.2 1739
## 22 22 30 No 22.7212 1437.3 61.5 8.8 2.3 160.9 1008
## 23 23 34 No 24.0812 2062.7 81.1 13.6 18.0 190.5 606
## 24 24 53 No 23.1598 1276.5 50.1 9.0 4.7 143.5 1380
## 25 25 60 No 49.1203 2114.8 77.6 14.9 0.5 239.9 4916
## 26 26 50 No 23.0766 1113.0 32.8 12.9 3.0 104.8 4451
## 27 27 62 No 33.7244 1323.0 60.8 11.4 0.0 155.8 5983
## 28 28 61 No 25.1827 2837.3 84.2 33.8 0.0 192.1 2413
## 29 29 65 No 28.9498 2055.9 111.8 15.9 0.0 226.5 3087
## 30 30 71 No 24.6800 1285.8 55.4 10.6 2.0 353.4 521
## 31 31 43 No 28.4015 1786.9 93.9 10.6 0.0 247.0 2431
## 32 32 33 No 20.5696 3144.8 155.0 17.6 4.1 308.8 3141
## 33 33 74 Yes 16.3311 1241.0 53.1 10.8 0.1 206.1 1668
## 34 34 41 No 21.0312 2419.3 122.7 16.2 0.3 325.2 4366
## 35 35 56 No 22.6438 2712.7 145.3 13.4 8.0 242.6 494
## 36 36 44 Yes 25.8787 1810.0 95.3 17.5 0.0 253.1 7026
## 37 37 37 No 35.3601 1778.1 75.9 10.8 0.5 332.6 1529
## 38 38 37 No 25.9400 1147.9 47.6 7.3 0.1 117.0 241
## 39 39 39 Yes 21.9991 1951.4 109.1 4.7 0.0 461.1 998
## 40 40 37 No 22.5121 2035.5 65.7 22.1 0.7 205.3 6082
## 41 41 53 No 27.4927 1248.6 56.9 8.2 0.0 223.2 2741
## 42 42 66 No 27.4961 3184.8 199.0 16.8 0.2 362.6 2100
## 43 43 58 No 24.1797 1538.1 78.7 14.2 0.9 231.2 2359
## 44 44 31 Yes 23.3459 1456.5 56.6 8.5 1.0 182.7 603
## 45 45 49 No 21.6784 1656.3 59.5 13.3 0.1 180.3 1625
## 46 46 75 No 21.3291 1396.8 53.3 13.2 3.2 99.3 2888
## 47 47 62 No 33.7442 1588.1 88.9 7.4 0.0 362.6 1099
## 48 48 56 No 32.0748 1566.5 95.2 6.5 7.2 408.0 2103
## 49 49 69 No 31.6684 827.9 32.8 8.7 0.0 79.8 2260
## 50 50 50 Yes 25.1119 2340.4 110.4 11.3 14.0 260.7 452
## 51 51 50 No 20.4034 1902.9 72.9 35.4 7.3 175.6 3549
## 52 52 72 No 39.2229 1111.9 47.2 10.2 0.2 69.4 2204
## 53 53 60 No 19.9326 1333.8 37.1 16.9 6.5 84.0 4964
## 54 54 55 No 21.6362 1896.1 82.2 9.3 10.0 296.8 1052
## 55 55 43 No 29.0047 1472.7 61.8 12.2 0.0 216.3 3572
## 56 56 29 No 18.8340 2237.4 77.6 22.6 0.7 180.6 2902
## 57 57 44 Yes 29.1135 1446.2 63.2 9.5 3.2 208.8 1788
## 58 58 48 No 32.3483 2908.5 139.1 16.4 0.2 511.6 5111
## 59 59 38 No 23.8573 2190.7 96.9 17.7 1.3 192.1 1378
## 60 60 33 No 19.4090 1878.2 81.6 9.6 4.9 265.8 1431
## 61 61 56 No 16.6367 1436.8 57.2 9.4 0.0 183.3 1727
## 62 62 65 Yes 23.3762 6662.2 164.3 11.3 203.0 603.0 2893
## 63 63 48 No 30.2950 2893.3 125.8 18.8 1.7 256.7 2524
## 64 64 66 No 22.5743 1902.4 76.7 17.7 3.1 216.7 2533
## 65 65 78 No 26.3675 1531.6 69.5 5.4 0.0 168.0 982
## 66 66 65 No 23.5424 1220.7 34.6 16.5 5.6 152.8 1535
## 67 67 72 No 22.0119 1247.7 46.8 10.2 0.0 347.9 326
## 68 68 31 Yes 21.0778 1631.5 75.2 8.5 0.7 277.1 1487
## 69 69 74 No 25.7393 818.1 34.3 6.6 3.7 55.4 1114
## 70 70 61 No 25.1827 1570.1 58.7 19.3 2.0 158.3 1080
## 71 71 83 No 25.2068 1331.2 50.6 7.7 0.3 380.7 2492
## 72 72 46 No 30.7096 2052.4 120.4 10.2 0.0 195.2 1349
## 73 73 62 No 23.9217 1823.0 80.3 17.4 6.2 256.8 6948
## 74 74 56 Yes 20.6410 1743.8 85.3 13.2 7.2 349.6 1086
## 75 75 33 No 26.6369 3457.2 166.0 17.5 10.5 452.8 2629
## 76 76 45 No 22.3611 1126.7 20.4 12.5 7.2 71.8 1307
## 77 77 41 No 23.0939 3258.3 101.2 26.2 0.5 341.7 1306
## 78 78 73 No 24.6800 2833.7 119.9 14.6 18.2 365.0 3465
## 79 79 31 No 21.3314 2264.3 105.5 13.4 3.2 396.5 1846
## 80 80 50 No 25.1199 2026.0 85.5 11.2 21.0 268.2 1334
## 81 81 65 No 28.4020 1747.6 83.6 10.9 0.0 244.8 4848
## 82 82 35 Yes 21.8340 1575.5 53.9 7.0 1.0 216.2 1734
## 83 83 42 No 29.0357 1785.4 94.1 10.0 0.7 288.0 1120
## 84 84 19 No 29.2415 2558.9 116.1 12.3 0.0 324.5 1498
## 85 85 37 No 19.9861 839.0 29.2 4.7 6.4 66.5 330
## 86 86 44 No 24.0812 2391.3 95.4 20.6 0.0 283.3 5909
## 87 87 36 No 23.3459 1887.4 110.2 6.0 0.1 211.7 3326
## 88 88 53 Yes 25.1406 2798.2 125.9 17.7 7.0 239.0 2110
## 89 89 69 Yes 27.2289 2654.9 126.0 23.3 0.0 248.0 2719
## 90 90 74 No 27.9862 1202.0 46.6 11.4 0.0 59.2 2309
## 91 91 70 No 22.5331 1235.9 51.1 9.6 3.0 142.0 1153
## 92 92 56 No 26.3173 2225.1 111.5 10.4 6.8 283.7 1432
## 93 93 77 No 27.7905 866.9 31.0 9.8 0.2 59.7 2493
## 94 94 73 No 24.4172 1666.8 76.5 13.3 0.0 747.5 3054
## 95 95 43 No 23.0381 3711.0 202.7 14.9 18.0 469.2 1861
## 96 96 41 No 23.6169 1055.0 33.2 12.9 0.9 220.0 4268
## 97 97 22 No 27.0053 2733.0 123.8 5.1 0.3 440.3 1652
## 98 98 44 No 23.4605 1660.1 80.3 13.6 0.1 89.0 1802
## 99 99 51 No 25.1571 1952.7 63.8 17.9 11.0 201.3 2308
## 100 100 46 Yes 35.2597 2667.5 131.6 10.1 0.0 550.5 1210
## 101 101 25 Yes 20.6410 1517.4 59.1 5.9 0.0 127.6 214
## 102 102 69 No 23.0056 1711.4 98.2 10.8 0.3 332.4 1370
## 103 103 69 No 25.2317 1756.4 82.3 8.8 0.0 500.3 2354
## 104 104 58 No 27.3369 2186.2 99.3 14.9 0.2 263.8 2446
## 105 105 77 No 25.8813 2075.2 75.6 21.4 0.0 228.8 3473
## 106 106 67 No 24.7353 2021.2 94.8 13.3 8.0 417.6 3359
## 107 107 37 No 29.3256 1653.2 77.3 12.5 1.0 162.6 1062
## 108 108 47 No 21.1882 1076.6 33.4 22.5 4.1 138.8 1489
## 109 109 60 Yes 19.6773 1506.7 76.3 14.6 0.0 239.2 3982
## 110 110 49 No 25.0700 1511.7 54.4 16.1 4.2 200.5 1656
## 111 111 83 No 25.5977 1933.6 98.8 11.1 0.0 224.7 768
## 112 112 56 No 22.0119 1830.0 52.8 13.8 8.5 689.4 1496
## 113 113 39 No 30.2913 1256.7 43.7 5.3 0.3 133.6 683
## 114 114 41 No 41.8559 1823.7 54.7 14.6 0.0 188.0 885
## 115 115 37 Yes 28.3357 1902.8 81.7 8.2 0.0 178.6 1662
## 116 116 66 No 26.5081 958.5 37.7 8.3 0.0 108.6 1552
## 117 117 55 No 21.0778 2328.3 112.6 13.9 2.9 281.9 2144
## 118 118 49 No 39.4650 1574.0 74.6 14.1 0.0 440.6 3567
## 119 119 31 No 18.9836 1646.2 52.2 13.2 5.0 174.9 1423
## 120 120 64 No 18.8783 1828.0 63.4 14.7 0.0 87.9 1293
## 121 121 57 No 23.2212 1288.7 63.2 10.6 0.0 200.2 2111
## 122 122 42 Yes 26.8491 1084.3 25.2 21.8 1.0 105.7 2874
## 123 123 40 No 25.8813 2431.9 93.7 17.8 0.1 364.6 1699
## 124 124 73 Yes 19.4090 2453.5 118.5 10.3 0.0 516.5 954
## 125 125 37 No 19.5708 1645.7 76.0 6.6 4.0 225.9 1368
## 126 126 43 No 20.2970 2075.9 96.5 17.3 7.0 271.8 3318
## 127 127 66 No 26.4205 1563.7 73.3 12.0 1.1 300.9 2247
## 128 128 26 No 20.3795 1663.3 64.6 7.6 2.0 124.7 910
## 129 129 45 No 29.2415 1601.4 93.9 8.8 0.0 255.8 1171
## 130 130 74 No 30.2950 1718.9 57.9 15.0 1.2 272.7 2077
## 131 131 49 No 21.4790 1010.6 29.4 9.1 6.2 98.8 1210
## 132 132 41 No 19.4090 1372.7 61.6 9.5 0.0 182.5 1826
## 133 133 74 No 27.3192 1837.0 76.9 13.6 0.0 383.6 2628
## 134 134 38 Yes 21.8451 1662.7 58.7 15.7 3.7 163.7 561
## 135 135 83 No 22.2224 1534.7 54.9 26.3 0.0 77.5 1893
## 136 136 70 No 28.0470 2005.8 89.5 8.5 0.1 121.2 1312
## 137 137 39 No 26.0943 1187.8 32.8 11.6 0.0 154.9 1913
## 138 138 65 No 21.5851 1446.2 56.8 10.8 0.0 127.9 924
## 139 139 72 No 21.0312 976.7 68.4 3.1 0.0 99.6 728
## 140 140 46 No 23.6773 2706.7 104.9 16.8 22.0 416.0 4387
## 141 141 46 No 30.0587 1546.0 73.6 10.3 7.0 284.8 1976
## 142 142 51 No 34.1851 1324.0 46.0 12.7 0.0 151.0 2422
## 143 143 39 No 24.0812 1368.9 61.6 14.4 6.7 314.9 1407
## 144 144 33 Yes 20.1613 3228.0 141.1 14.4 0.0 718.8 1301
## 145 145 49 No 31.7263 2825.8 97.8 7.5 35.0 374.3 1112
## 146 146 44 No 23.3932 1220.9 35.1 14.0 0.0 99.2 1052
## 147 147 69 No 24.2613 1174.7 47.4 9.9 0.1 89.9 1008
## 148 148 52 No 27.8335 828.2 52.3 6.1 1.2 141.1 1054
## 149 149 82 No 20.2177 1708.1 94.2 15.1 2.0 224.7 1484
## 150 150 46 No 23.4786 1182.9 60.2 5.2 0.2 164.5 657
## 151 151 25 No 22.7051 928.4 29.7 6.0 0.5 120.7 604
## 152 152 54 No 37.8687 4373.6 235.9 22.9 0.1 814.7 2912
## 153 153 70 No 25.7393 1387.7 55.2 11.2 0.0 114.0 869
## 154 154 35 No 18.4385 1555.6 72.8 11.5 0.0 174.1 1578
## 155 155 46 No 33.1948 1581.7 64.1 12.3 0.1 170.1 1210
## 156 156 70 No 29.5966 1397.4 60.5 9.2 0.0 228.5 1554
## 157 157 71 No 22.1532 1305.4 43.3 10.2 0.0 72.7 3445
## 158 158 59 No 26.8868 1249.6 24.2 14.7 0.0 97.2 3014
## 159 159 42 No 20.5412 2347.3 104.4 12.5 0.0 249.3 1666
## 160 160 46 No 39.4062 1207.1 42.8 11.6 0.0 155.1 1462
## 161 161 37 No 33.3723 1688.1 45.0 17.1 0.8 141.1 1272
## 162 162 39 No 21.9409 1719.3 49.7 18.4 11.0 164.6 5296
## 163 163 43 No 25.5828 2501.6 121.1 19.5 0.0 343.0 5605
## 164 164 23 No 20.1259 2219.1 120.9 13.1 2.0 415.8 2430
## 165 165 45 No 20.2398 1827.7 71.2 10.4 2.0 267.5 2375
## 166 166 63 No 23.9217 1282.3 26.4 13.6 0.1 100.6 3753
## 167 167 44 Yes 28.3486 1427.2 60.6 8.3 0.2 195.0 695
## 168 168 43 No 20.4034 2000.8 86.7 14.8 0.9 200.9 1649
## 169 169 33 No 27.8695 1622.4 71.5 12.9 1.0 214.8 2317
## 170 170 35 No 34.0818 3114.0 160.2 14.9 0.2 432.3 1702
## 171 171 50 No 23.0716 2012.0 112.9 14.3 6.5 456.9 1007
## 172 172 50 No 29.0157 2106.4 97.0 12.9 0.0 344.3 2308
## 173 173 59 No 25.5977 1546.6 72.9 15.1 0.7 192.8 4694
## 174 174 38 No 23.0766 1149.0 43.6 8.6 10.5 122.5 2749
## 175 175 60 No 29.7475 659.3 22.2 7.0 0.1 102.0 1497
## 176 176 54 No 19.1770 1580.6 82.9 9.4 5.2 98.3 1171
## 177 177 71 No 24.4634 1850.5 75.9 16.1 7.2 247.9 3054
## 178 178 48 No 22.5319 1242.1 37.5 13.3 1.0 148.4 1488
## 179 179 49 No 32.0177 1099.4 56.9 5.2 0.5 169.9 829
## 180 180 27 Yes 29.2415 1127.6 59.4 7.4 0.0 183.4 1037
## 181 181 27 Yes 25.4454 2919.5 125.3 14.3 1.0 370.0 846
## 182 182 75 No 21.5278 1049.1 51.7 8.0 0.0 188.9 1382
## 183 183 45 No 26.4205 1366.6 42.5 12.9 2.5 141.2 3407
## 184 184 35 No 30.4455 1884.8 91.6 11.1 5.0 518.0 758
## 185 185 56 No 33.5921 1494.5 59.1 6.8 0.0 111.5 599
## 186 186 41 Yes 27.5214 1444.6 89.1 6.8 0.0 280.1 1073
## 187 187 48 No 32.9913 445.2 14.4 5.0 0.0 102.8 862
## 188 188 48 No 21.8351 1849.8 80.6 13.8 3.2 549.1 4291
## 189 189 32 No 20.1579 1678.2 54.3 12.9 1.5 147.3 1668
## 190 190 38 No 46.7376 1390.4 55.7 10.8 0.0 195.1 2809
## 191 191 52 No 33.2962 1749.9 81.3 12.1 0.0 226.5 2373
## 192 192 40 No 24.0103 742.3 36.5 5.9 2.1 133.9 1850
## 193 193 44 No 23.0716 1148.5 50.3 7.1 0.1 139.2 1352
## 194 194 70 No 22.4821 1730.6 72.9 14.4 0.2 363.1 2315
## 195 195 55 Yes 29.0357 1162.5 54.0 5.6 0.2 175.2 1417
## 196 196 48 No 20.2177 1738.9 63.5 12.2 0.5 205.9 4504
## 197 197 38 No 20.7176 1432.1 58.5 6.3 0.2 131.9 998
## 198 198 49 No 20.4034 3098.9 106.2 25.2 1.2 447.6 4430
## 199 199 36 No 32.9594 2342.3 95.8 19.2 1.7 389.4 3201
## 200 200 64 No 21.5011 2319.9 97.6 22.3 0.0 155.3 3686
## 201 201 49 No 23.6794 1292.8 43.1 10.6 11.0 180.7 2131
## 202 202 49 Yes 22.7216 784.4 40.6 4.9 3.0 97.4 852
## 203 203 43 No 22.9146 2038.5 80.7 17.1 0.0 232.3 2781
## 204 204 33 No 23.9378 1366.8 55.9 6.2 0.0 196.0 1151
## 205 205 38 No 26.0943 1550.0 66.8 12.1 0.0 253.2 3970
## 206 206 36 No 19.7664 1240.7 50.9 6.9 0.3 116.0 808
## 207 207 33 No 21.6734 2814.6 111.2 16.8 0.0 399.3 843
## 208 208 47 No 20.8130 1612.5 45.5 9.0 15.0 149.9 2537
## 209 209 53 No 40.6892 1576.3 54.8 13.5 0.1 308.9 2205
## 210 210 41 No 29.1423 1197.7 54.5 4.9 0.0 135.6 587
## 211 211 36 No 21.0778 2045.3 84.8 13.2 0.7 271.9 3591
## 212 212 32 No 35.9753 3328.4 163.3 20.0 4.1 425.5 3434
## 213 213 57 No 26.9429 2513.3 98.9 10.6 0.0 428.1 2869
## 214 214 42 No 21.6784 1737.4 62.1 16.3 0.2 211.7 2515
## 215 215 37 Yes 27.2655 1034.4 34.5 8.9 0.0 118.5 807
## 216 216 52 No 32.6718 2083.9 93.1 8.8 0.0 328.1 766
## 217 217 45 Yes 28.7254 1481.8 75.3 10.4 0.2 336.9 720
## 218 218 42 No 20.7690 1051.2 44.0 10.9 0.2 165.5 516
## 219 219 42 No 21.2065 1730.1 58.3 16.6 4.5 196.1 3785
## 220 220 41 Yes 20.7176 1102.8 56.6 5.3 0.0 329.8 1436
## 221 221 41 No 26.3117 1496.7 64.6 5.9 1.0 239.8 613
## 222 222 26 Yes 20.5412 1987.2 76.6 9.8 0.0 156.1 1460
## 223 223 70 No 20.1613 2017.2 136.0 7.6 0.0 195.8 2251
## 224 224 44 No 26.3675 1525.6 85.4 7.9 0.1 179.4 2029
## 225 225 46 No 28.4020 1342.2 69.7 5.9 1.0 215.4 8046
## 226 226 22 No 50.4033 1511.7 64.4 10.2 0.0 190.3 1074
## 227 227 46 Yes 21.6784 1570.1 74.1 13.7 0.9 145.7 3556
## 228 228 32 No 20.0560 2703.4 120.6 11.4 0.1 284.3 1218
## 229 229 27 No 23.8763 1200.6 61.5 8.7 1.5 208.7 2199
## 230 230 52 No 37.1113 1891.6 73.8 17.6 0.0 226.0 5810
## 231 231 42 No 36.5973 1434.9 59.3 11.2 0.0 281.1 1214
## 232 232 34 No 28.5795 2118.1 93.0 20.1 0.0 170.0 2215
## 233 233 36 No 40.2953 1414.6 51.2 13.7 0.0 135.8 1678
## 234 234 59 No 24.8040 2192.3 78.7 14.2 0.0 173.5 2579
## 235 235 75 No 36.4737 1380.6 54.5 13.5 0.1 201.6 925
## 236 236 43 No 45.8581 1626.3 72.2 7.9 0.0 157.5 404
## 237 237 56 No 30.4824 2210.7 113.1 10.5 6.1 340.1 2008
## 238 238 48 No 19.7039 1600.7 77.7 11.2 7.2 180.1 2469
## 239 239 34 Yes 21.9638 1076.2 52.7 6.1 0.0 78.3 755
## 240 240 37 No 23.3459 2094.5 78.9 17.3 1.0 193.4 1718
## 241 241 41 No 31.8216 1823.0 74.8 12.1 1.3 196.9 2133
## 242 242 74 No 23.3459 1512.1 73.8 8.7 5.7 182.8 1167
## 243 243 73 No 21.0113 840.6 34.3 8.2 0.1 81.1 619
## 244 244 53 Yes 19.7810 1996.1 98.8 9.2 0.0 436.8 908
## 245 245 74 No 21.1364 2171.6 76.6 20.4 0.0 176.3 3690
## 246 246 77 No 24.3272 1481.4 55.0 11.2 0.0 191.7 3425
## 247 247 39 No 21.1781 1829.2 79.0 15.6 0.0 178.4 2787
## 248 248 29 No 18.6003 1041.6 45.4 6.0 3.0 139.5 675
## 249 249 37 No 44.9106 2010.4 101.2 16.0 0.1 362.4 2142
## 250 250 47 No 23.9642 2120.8 77.4 17.0 8.4 185.9 2299
## 251 251 64 No 21.2065 1008.4 35.4 5.6 14.0 37.7 544
## 252 252 36 No 42.8886 798.2 30.6 7.9 2.4 46.3 604
## 253 253 42 No 20.4172 3099.2 134.9 19.0 0.8 469.3 6558
## 254 254 64 No 25.6599 2055.7 114.4 13.0 0.0 248.4 2661
## 255 255 38 No 20.7029 2585.3 129.8 21.1 4.0 429.5 7362
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## 272 272 44 Yes 29.9774 1877.4 92.2 7.7 0.2 211.6 1665
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## 280 280 34 Yes 34.0818 1148.7 41.7 9.8 1.0 173.4 2247
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## 289 289 29 Yes 26.6874 2476.2 121.1 14.3 0.0 263.5 2889
## 290 290 36 Yes 25.7393 1959.3 112.4 6.7 0.5 326.7 1097
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## 294 294 32 No 39.5620 3511.1 114.7 13.9 0.2 444.7 2174
## 295 295 65 No 26.7596 1276.0 60.5 12.0 3.5 87.3 1456
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## 304 304 33 No 18.5769 1835.9 74.1 23.0 0.7 184.2 2121
## 305 305 73 Yes 20.7112 1678.5 82.3 6.3 14.1 249.5 1078
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## 315 315 45 No 26.5081 1627.0 77.4 9.9 0.2 195.6 1242
## RetinolDiet BetaPlasma RetinolPlasma Gender VitaminUse PriorSmoke
## 1 890 200 915 Female Regular 2
## 2 451 124 727 Female Regular 1
## 3 660 328 721 Female Occasional 2
## 4 864 153 615 Female No 2
## 5 1209 92 799 Female Regular 1
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## 214 1 3 1 0 0 1 0 1
## 215 1 3 1 0 0 1 0 0
## 216 1 3 1 0 0 1 0 0
## 217 2 2 0 1 0 0 1 1
## 218 3 1 0 0 1 -1 -1 1
## 219 1 3 1 0 0 1 0 1
## 220 3 1 0 0 1 -1 -1 0
## 221 1 3 1 0 0 1 0 1
## 222 1 3 1 0 0 1 0 0
## 223 3 1 0 0 1 -1 -1 0
## 224 1 3 1 0 0 1 0 1
## 225 3 1 0 0 1 -1 -1 1
## 226 3 1 0 0 1 -1 -1 0
## 227 3 1 0 0 1 -1 -1 1
## 228 1 3 1 0 0 1 0 1
## 229 3 1 0 0 1 -1 -1 1
## 230 3 1 0 0 1 -1 -1 0
## 231 1 3 1 0 0 1 0 0
## 232 3 1 0 0 1 -1 -1 0
## 233 2 2 0 1 0 0 1 0
## 234 1 3 1 0 0 1 0 0
## 235 2 2 0 1 0 0 1 1
## 236 1 3 1 0 0 1 0 0
## 237 3 1 0 0 1 -1 -1 1
## 238 3 1 0 0 1 -1 -1 1
## 239 3 1 0 0 1 -1 -1 0
## 240 2 2 0 1 0 0 1 1
## 241 2 2 0 1 0 0 1 1
## 242 1 3 1 0 0 1 0 1
## 243 3 1 0 0 1 -1 -1 1
## 244 2 2 0 1 0 0 1 0
## 245 3 1 0 0 1 -1 -1 0
## 246 1 3 1 0 0 1 0 0
## 247 1 3 1 0 0 1 0 0
## 248 2 2 0 1 0 0 1 1
## 249 2 2 0 1 0 0 1 1
## 250 3 1 0 0 1 -1 -1 1
## 251 3 1 0 0 1 -1 -1 2
## 252 3 1 0 0 1 -1 -1 1
## 253 3 1 0 0 1 -1 -1 1
## 254 2 2 0 1 0 0 1 0
## 255 1 3 1 0 0 1 0 1
## 256 2 2 0 1 0 0 1 2
## 257 1 3 1 0 0 1 0 0
## 258 1 3 1 0 0 1 0 1
## 259 3 1 0 0 1 -1 -1 1
## 260 1 3 1 0 0 1 0 1
## 261 3 1 0 0 1 -1 -1 1
## 262 2 2 0 1 0 0 1 1
## 263 1 3 1 0 0 1 0 1
## 264 2 2 0 1 0 0 1 0
## 265 2 2 0 1 0 0 1 1
## 266 3 1 0 0 1 -1 -1 1
## 267 1 3 1 0 0 1 0 1
## 268 3 1 0 0 1 -1 -1 0
## 269 2 2 0 1 0 0 1 1
## 270 1 3 1 0 0 1 0 1
## 271 1 3 1 0 0 1 0 0
## 272 3 1 0 0 1 -1 -1 1
## 273 3 1 0 0 1 -1 -1 2
## 274 3 1 0 0 1 -1 -1 1
## 275 1 3 1 0 0 1 0 1
## 276 2 2 0 1 0 0 1 0
## 277 3 1 0 0 1 -1 -1 1
## 278 3 1 0 0 1 -1 -1 1
## 279 2 2 0 1 0 0 1 1
## 280 3 1 0 0 1 -1 -1 1
## 281 1 3 1 0 0 1 0 1
## 282 2 2 0 1 0 0 1 0
## 283 3 1 0 0 1 -1 -1 2
## 284 3 1 0 0 1 -1 -1 0
## 285 2 2 0 1 0 0 1 1
## 286 2 2 0 1 0 0 1 0
## 287 1 3 1 0 0 1 0 0
## 288 2 2 0 1 0 0 1 0
## 289 2 2 0 1 0 0 1 0
## 290 3 1 0 0 1 -1 -1 1
## 291 3 1 0 0 1 -1 -1 0
## 292 2 2 0 1 0 0 1 1
## 293 1 3 1 0 0 1 0 0
## 294 2 2 0 1 0 0 1 1
## 295 3 1 0 0 1 -1 -1 1
## 296 1 3 1 0 0 1 0 2
## 297 3 1 0 0 1 -1 -1 1
## 298 2 2 0 1 0 0 1 2
## 299 1 3 1 0 0 1 0 1
## 300 3 1 0 0 1 -1 -1 0
## 301 2 2 0 1 0 0 1 1
## 302 1 3 1 0 0 1 0 1
## 303 3 1 0 0 1 -1 -1 0
## 304 1 3 1 0 0 1 0 1
## 305 2 2 0 1 0 0 1 2
## 306 1 3 1 0 0 1 0 0
## 307 2 2 0 1 0 0 1 0
## 308 2 2 0 1 0 0 1 2
## 309 2 2 0 1 0 0 1 1
## 310 2 2 0 1 0 0 1 1
## 311 3 1 0 0 1 -1 -1 1
## 312 1 3 1 0 0 1 0 1
## 313 1 3 1 0 0 1 0 1
## 314 1 3 1 0 0 1 0 1
## 315 1 3 1 0 0 1 0 1
## AlcoholNumHi AlcoholNumMid
## 1 -1 -1
## 2 -1 -1
## 3 1 0
## 4 0 1
## 5 -1 -1
## 6 0 1
## 7 -1 -1
## 8 -1 -1
## 9 0 1
## 10 -1 -1
## 11 0 1
## 12 -1 -1
## 13 0 1
## 14 -1 -1
## 15 -1 -1
## 16 1 0
## 17 1 0
## 18 0 1
## 19 -1 -1
## 20 0 1
## 21 0 1
## 22 0 1
## 23 1 0
## 24 0 1
## 25 0 1
## 26 0 1
## 27 -1 -1
## 28 -1 -1
## 29 -1 -1
## 30 0 1
## 31 -1 -1
## 32 0 1
## 33 0 1
## 34 0 1
## 35 0 1
## 36 -1 -1
## 37 0 1
## 38 0 1
## 39 -1 -1
## 40 0 1
## 41 -1 -1
## 42 0 1
## 43 0 1
## 44 0 1
## 45 0 1
## 46 0 1
## 47 -1 -1
## 48 0 1
## 49 -1 -1
## 50 1 0
## 51 0 1
## 52 0 1
## 53 0 1
## 54 1 0
## 55 -1 -1
## 56 0 1
## 57 0 1
## 58 0 1
## 59 0 1
## 60 0 1
## 61 -1 -1
## 62 1 0
## 63 0 1
## 64 0 1
## 65 -1 -1
## 66 0 1
## 67 -1 -1
## 68 0 1
## 69 0 1
## 70 0 1
## 71 0 1
## 72 -1 -1
## 73 0 1
## 74 0 1
## 75 1 0
## 76 0 1
## 77 0 1
## 78 1 0
## 79 0 1
## 80 1 0
## 81 -1 -1
## 82 0 1
## 83 0 1
## 84 -1 -1
## 85 0 1
## 86 -1 -1
## 87 0 1
## 88 0 1
## 89 -1 -1
## 90 -1 -1
## 91 0 1
## 92 0 1
## 93 0 1
## 94 -1 -1
## 95 1 0
## 96 0 1
## 97 0 1
## 98 0 1
## 99 1 0
## 100 -1 -1
## 101 -1 -1
## 102 0 1
## 103 -1 -1
## 104 0 1
## 105 -1 -1
## 106 0 1
## 107 0 1
## 108 0 1
## 109 -1 -1
## 110 0 1
## 111 -1 -1
## 112 0 1
## 113 0 1
## 114 -1 -1
## 115 -1 -1
## 116 -1 -1
## 117 0 1
## 118 -1 -1
## 119 0 1
## 120 -1 -1
## 121 -1 -1
## 122 0 1
## 123 0 1
## 124 -1 -1
## 125 0 1
## 126 0 1
## 127 0 1
## 128 0 1
## 129 -1 -1
## 130 0 1
## 131 0 1
## 132 -1 -1
## 133 -1 -1
## 134 0 1
## 135 -1 -1
## 136 0 1
## 137 -1 -1
## 138 -1 -1
## 139 -1 -1
## 140 1 0
## 141 0 1
## 142 -1 -1
## 143 0 1
## 144 -1 -1
## 145 1 0
## 146 -1 -1
## 147 0 1
## 148 0 1
## 149 0 1
## 150 0 1
## 151 0 1
## 152 0 1
## 153 -1 -1
## 154 -1 -1
## 155 0 1
## 156 -1 -1
## 157 -1 -1
## 158 -1 -1
## 159 -1 -1
## 160 -1 -1
## 161 0 1
## 162 1 0
## 163 -1 -1
## 164 0 1
## 165 0 1
## 166 0 1
## 167 0 1
## 168 0 1
## 169 0 1
## 170 0 1
## 171 0 1
## 172 -1 -1
## 173 0 1
## 174 1 0
## 175 0 1
## 176 0 1
## 177 0 1
## 178 0 1
## 179 0 1
## 180 -1 -1
## 181 0 1
## 182 -1 -1
## 183 0 1
## 184 0 1
## 185 -1 -1
## 186 -1 -1
## 187 -1 -1
## 188 0 1
## 189 0 1
## 190 -1 -1
## 191 -1 -1
## 192 0 1
## 193 0 1
## 194 0 1
## 195 0 1
## 196 0 1
## 197 0 1
## 198 0 1
## 199 0 1
## 200 -1 -1
## 201 1 0
## 202 0 1
## 203 -1 -1
## 204 -1 -1
## 205 -1 -1
## 206 0 1
## 207 -1 -1
## 208 1 0
## 209 0 1
## 210 -1 -1
## 211 0 1
## 212 0 1
## 213 -1 -1
## 214 0 1
## 215 -1 -1
## 216 -1 -1
## 217 0 1
## 218 0 1
## 219 0 1
## 220 -1 -1
## 221 0 1
## 222 -1 -1
## 223 -1 -1
## 224 0 1
## 225 0 1
## 226 -1 -1
## 227 0 1
## 228 0 1
## 229 0 1
## 230 -1 -1
## 231 -1 -1
## 232 -1 -1
## 233 -1 -1
## 234 -1 -1
## 235 0 1
## 236 -1 -1
## 237 0 1
## 238 0 1
## 239 -1 -1
## 240 0 1
## 241 0 1
## 242 0 1
## 243 0 1
## 244 -1 -1
## 245 -1 -1
## 246 -1 -1
## 247 -1 -1
## 248 0 1
## 249 0 1
## 250 0 1
## 251 1 0
## 252 0 1
## 253 0 1
## 254 -1 -1
## 255 0 1
## 256 1 0
## 257 -1 -1
## 258 0 1
## 259 0 1
## 260 0 1
## 261 0 1
## 262 0 1
## 263 0 1
## 264 -1 -1
## 265 0 1
## 266 0 1
## 267 0 1
## 268 -1 -1
## 269 0 1
## 270 0 1
## 271 -1 -1
## 272 0 1
## 273 1 0
## 274 0 1
## 275 0 1
## 276 -1 -1
## 277 0 1
## 278 0 1
## 279 0 1
## 280 0 1
## 281 0 1
## 282 -1 -1
## 283 1 0
## 284 -1 -1
## 285 0 1
## 286 -1 -1
## 287 -1 -1
## 288 -1 -1
## 289 -1 -1
## 290 0 1
## 291 -1 -1
## 292 0 1
## 293 -1 -1
## 294 0 1
## 295 0 1
## 296 1 0
## 297 0 1
## 298 1 0
## 299 0 1
## 300 -1 -1
## 301 0 1
## 302 0 1
## 303 -1 -1
## 304 0 1
## 305 1 0
## 306 -1 -1
## 307 -1 -1
## 308 1 0
## 309 0 1
## 310 0 1
## 311 0 1
## 312 0 1
## 313 0 1
## 314 0 1
## 315 0 1mydata$regHi=mydata$vitReg1*mydata$AlcoholNumHi
mydata$regMid=mydata$vitReg1*mydata$AlcoholNumMid
mydata$occHi=mydata$vitOcc1*mydata$AlcoholNumHi
mydata$occMid=mydata$vitOcc1*mydata$AlcoholNumMid
mydata## ID Age Smoke Quetelet Calories Fat Fiber Alcohol Cholesterol BetaDiet
## 1 1 64 No 21.4838 1298.8 57.0 6.3 0.0 170.3 1945
## 2 2 76 No 23.8763 1032.5 50.1 15.8 0.0 75.8 2653
## 3 3 38 No 20.0108 2372.3 83.6 19.1 14.1 257.9 6321
## 4 4 40 No 25.1406 2449.5 97.5 26.5 0.5 332.6 1061
## 5 5 72 No 20.9850 1952.1 82.6 16.2 0.0 170.8 2863
## 6 6 40 No 27.5214 1366.9 56.0 9.6 1.3 154.6 1729
## 7 7 65 No 22.0115 2213.9 52.0 28.7 0.0 255.1 5371
## 8 8 58 No 28.7570 1595.6 63.4 10.9 0.0 214.1 823
## 9 9 35 No 23.0766 1800.5 57.8 20.3 0.6 233.6 2895
## 10 10 55 No 34.9699 1263.6 39.6 15.5 0.0 171.9 3307
## 11 11 66 No 20.9465 1460.8 58.0 18.2 1.0 137.4 1714
## 12 12 40 No 36.4316 1638.2 49.3 14.9 0.0 130.7 2031
## 13 13 57 No 31.7304 2072.9 106.7 9.6 0.9 420.0 1982
## 14 14 66 No 21.7885 987.5 35.6 10.3 0.0 254.9 2120
## 15 15 66 No 27.3192 1574.3 75.0 7.1 0.0 361.5 1388
## 16 16 64 No 31.4467 2868.5 128.8 15.0 20.0 379.5 3888
## 17 17 62 No 25.9025 1751.1 80.7 8.4 14.1 160.3 2194
## 18 18 75 No 29.1526 1407.6 35.0 20.8 7.0 144.1 3470
## 19 19 68 No 38.1873 1628.5 78.6 11.6 0.0 512.3 2108
## 20 20 57 No 25.8967 1101.4 48.5 8.5 5.0 197.2 1157
## 21 21 56 No 24.4588 2433.6 127.6 19.9 7.1 271.2 1739
## 22 22 30 No 22.7212 1437.3 61.5 8.8 2.3 160.9 1008
## 23 23 34 No 24.0812 2062.7 81.1 13.6 18.0 190.5 606
## 24 24 53 No 23.1598 1276.5 50.1 9.0 4.7 143.5 1380
## 25 25 60 No 49.1203 2114.8 77.6 14.9 0.5 239.9 4916
## 26 26 50 No 23.0766 1113.0 32.8 12.9 3.0 104.8 4451
## 27 27 62 No 33.7244 1323.0 60.8 11.4 0.0 155.8 5983
## 28 28 61 No 25.1827 2837.3 84.2 33.8 0.0 192.1 2413
## 29 29 65 No 28.9498 2055.9 111.8 15.9 0.0 226.5 3087
## 30 30 71 No 24.6800 1285.8 55.4 10.6 2.0 353.4 521
## 31 31 43 No 28.4015 1786.9 93.9 10.6 0.0 247.0 2431
## 32 32 33 No 20.5696 3144.8 155.0 17.6 4.1 308.8 3141
## 33 33 74 Yes 16.3311 1241.0 53.1 10.8 0.1 206.1 1668
## 34 34 41 No 21.0312 2419.3 122.7 16.2 0.3 325.2 4366
## 35 35 56 No 22.6438 2712.7 145.3 13.4 8.0 242.6 494
## 36 36 44 Yes 25.8787 1810.0 95.3 17.5 0.0 253.1 7026
## 37 37 37 No 35.3601 1778.1 75.9 10.8 0.5 332.6 1529
## 38 38 37 No 25.9400 1147.9 47.6 7.3 0.1 117.0 241
## 39 39 39 Yes 21.9991 1951.4 109.1 4.7 0.0 461.1 998
## 40 40 37 No 22.5121 2035.5 65.7 22.1 0.7 205.3 6082
## 41 41 53 No 27.4927 1248.6 56.9 8.2 0.0 223.2 2741
## 42 42 66 No 27.4961 3184.8 199.0 16.8 0.2 362.6 2100
## 43 43 58 No 24.1797 1538.1 78.7 14.2 0.9 231.2 2359
## 44 44 31 Yes 23.3459 1456.5 56.6 8.5 1.0 182.7 603
## 45 45 49 No 21.6784 1656.3 59.5 13.3 0.1 180.3 1625
## 46 46 75 No 21.3291 1396.8 53.3 13.2 3.2 99.3 2888
## 47 47 62 No 33.7442 1588.1 88.9 7.4 0.0 362.6 1099
## 48 48 56 No 32.0748 1566.5 95.2 6.5 7.2 408.0 2103
## 49 49 69 No 31.6684 827.9 32.8 8.7 0.0 79.8 2260
## 50 50 50 Yes 25.1119 2340.4 110.4 11.3 14.0 260.7 452
## 51 51 50 No 20.4034 1902.9 72.9 35.4 7.3 175.6 3549
## 52 52 72 No 39.2229 1111.9 47.2 10.2 0.2 69.4 2204
## 53 53 60 No 19.9326 1333.8 37.1 16.9 6.5 84.0 4964
## 54 54 55 No 21.6362 1896.1 82.2 9.3 10.0 296.8 1052
## 55 55 43 No 29.0047 1472.7 61.8 12.2 0.0 216.3 3572
## 56 56 29 No 18.8340 2237.4 77.6 22.6 0.7 180.6 2902
## 57 57 44 Yes 29.1135 1446.2 63.2 9.5 3.2 208.8 1788
## 58 58 48 No 32.3483 2908.5 139.1 16.4 0.2 511.6 5111
## 59 59 38 No 23.8573 2190.7 96.9 17.7 1.3 192.1 1378
## 60 60 33 No 19.4090 1878.2 81.6 9.6 4.9 265.8 1431
## 61 61 56 No 16.6367 1436.8 57.2 9.4 0.0 183.3 1727
## 62 62 65 Yes 23.3762 6662.2 164.3 11.3 203.0 603.0 2893
## 63 63 48 No 30.2950 2893.3 125.8 18.8 1.7 256.7 2524
## 64 64 66 No 22.5743 1902.4 76.7 17.7 3.1 216.7 2533
## 65 65 78 No 26.3675 1531.6 69.5 5.4 0.0 168.0 982
## 66 66 65 No 23.5424 1220.7 34.6 16.5 5.6 152.8 1535
## 67 67 72 No 22.0119 1247.7 46.8 10.2 0.0 347.9 326
## 68 68 31 Yes 21.0778 1631.5 75.2 8.5 0.7 277.1 1487
## 69 69 74 No 25.7393 818.1 34.3 6.6 3.7 55.4 1114
## 70 70 61 No 25.1827 1570.1 58.7 19.3 2.0 158.3 1080
## 71 71 83 No 25.2068 1331.2 50.6 7.7 0.3 380.7 2492
## 72 72 46 No 30.7096 2052.4 120.4 10.2 0.0 195.2 1349
## 73 73 62 No 23.9217 1823.0 80.3 17.4 6.2 256.8 6948
## 74 74 56 Yes 20.6410 1743.8 85.3 13.2 7.2 349.6 1086
## 75 75 33 No 26.6369 3457.2 166.0 17.5 10.5 452.8 2629
## 76 76 45 No 22.3611 1126.7 20.4 12.5 7.2 71.8 1307
## 77 77 41 No 23.0939 3258.3 101.2 26.2 0.5 341.7 1306
## 78 78 73 No 24.6800 2833.7 119.9 14.6 18.2 365.0 3465
## 79 79 31 No 21.3314 2264.3 105.5 13.4 3.2 396.5 1846
## 80 80 50 No 25.1199 2026.0 85.5 11.2 21.0 268.2 1334
## 81 81 65 No 28.4020 1747.6 83.6 10.9 0.0 244.8 4848
## 82 82 35 Yes 21.8340 1575.5 53.9 7.0 1.0 216.2 1734
## 83 83 42 No 29.0357 1785.4 94.1 10.0 0.7 288.0 1120
## 84 84 19 No 29.2415 2558.9 116.1 12.3 0.0 324.5 1498
## 85 85 37 No 19.9861 839.0 29.2 4.7 6.4 66.5 330
## 86 86 44 No 24.0812 2391.3 95.4 20.6 0.0 283.3 5909
## 87 87 36 No 23.3459 1887.4 110.2 6.0 0.1 211.7 3326
## 88 88 53 Yes 25.1406 2798.2 125.9 17.7 7.0 239.0 2110
## 89 89 69 Yes 27.2289 2654.9 126.0 23.3 0.0 248.0 2719
## 90 90 74 No 27.9862 1202.0 46.6 11.4 0.0 59.2 2309
## 91 91 70 No 22.5331 1235.9 51.1 9.6 3.0 142.0 1153
## 92 92 56 No 26.3173 2225.1 111.5 10.4 6.8 283.7 1432
## 93 93 77 No 27.7905 866.9 31.0 9.8 0.2 59.7 2493
## 94 94 73 No 24.4172 1666.8 76.5 13.3 0.0 747.5 3054
## 95 95 43 No 23.0381 3711.0 202.7 14.9 18.0 469.2 1861
## 96 96 41 No 23.6169 1055.0 33.2 12.9 0.9 220.0 4268
## 97 97 22 No 27.0053 2733.0 123.8 5.1 0.3 440.3 1652
## 98 98 44 No 23.4605 1660.1 80.3 13.6 0.1 89.0 1802
## 99 99 51 No 25.1571 1952.7 63.8 17.9 11.0 201.3 2308
## 100 100 46 Yes 35.2597 2667.5 131.6 10.1 0.0 550.5 1210
## 101 101 25 Yes 20.6410 1517.4 59.1 5.9 0.0 127.6 214
## 102 102 69 No 23.0056 1711.4 98.2 10.8 0.3 332.4 1370
## 103 103 69 No 25.2317 1756.4 82.3 8.8 0.0 500.3 2354
## 104 104 58 No 27.3369 2186.2 99.3 14.9 0.2 263.8 2446
## 105 105 77 No 25.8813 2075.2 75.6 21.4 0.0 228.8 3473
## 106 106 67 No 24.7353 2021.2 94.8 13.3 8.0 417.6 3359
## 107 107 37 No 29.3256 1653.2 77.3 12.5 1.0 162.6 1062
## 108 108 47 No 21.1882 1076.6 33.4 22.5 4.1 138.8 1489
## 109 109 60 Yes 19.6773 1506.7 76.3 14.6 0.0 239.2 3982
## 110 110 49 No 25.0700 1511.7 54.4 16.1 4.2 200.5 1656
## 111 111 83 No 25.5977 1933.6 98.8 11.1 0.0 224.7 768
## 112 112 56 No 22.0119 1830.0 52.8 13.8 8.5 689.4 1496
## 113 113 39 No 30.2913 1256.7 43.7 5.3 0.3 133.6 683
## 114 114 41 No 41.8559 1823.7 54.7 14.6 0.0 188.0 885
## 115 115 37 Yes 28.3357 1902.8 81.7 8.2 0.0 178.6 1662
## 116 116 66 No 26.5081 958.5 37.7 8.3 0.0 108.6 1552
## 117 117 55 No 21.0778 2328.3 112.6 13.9 2.9 281.9 2144
## 118 118 49 No 39.4650 1574.0 74.6 14.1 0.0 440.6 3567
## 119 119 31 No 18.9836 1646.2 52.2 13.2 5.0 174.9 1423
## 120 120 64 No 18.8783 1828.0 63.4 14.7 0.0 87.9 1293
## 121 121 57 No 23.2212 1288.7 63.2 10.6 0.0 200.2 2111
## 122 122 42 Yes 26.8491 1084.3 25.2 21.8 1.0 105.7 2874
## 123 123 40 No 25.8813 2431.9 93.7 17.8 0.1 364.6 1699
## 124 124 73 Yes 19.4090 2453.5 118.5 10.3 0.0 516.5 954
## 125 125 37 No 19.5708 1645.7 76.0 6.6 4.0 225.9 1368
## 126 126 43 No 20.2970 2075.9 96.5 17.3 7.0 271.8 3318
## 127 127 66 No 26.4205 1563.7 73.3 12.0 1.1 300.9 2247
## 128 128 26 No 20.3795 1663.3 64.6 7.6 2.0 124.7 910
## 129 129 45 No 29.2415 1601.4 93.9 8.8 0.0 255.8 1171
## 130 130 74 No 30.2950 1718.9 57.9 15.0 1.2 272.7 2077
## 131 131 49 No 21.4790 1010.6 29.4 9.1 6.2 98.8 1210
## 132 132 41 No 19.4090 1372.7 61.6 9.5 0.0 182.5 1826
## 133 133 74 No 27.3192 1837.0 76.9 13.6 0.0 383.6 2628
## 134 134 38 Yes 21.8451 1662.7 58.7 15.7 3.7 163.7 561
## 135 135 83 No 22.2224 1534.7 54.9 26.3 0.0 77.5 1893
## 136 136 70 No 28.0470 2005.8 89.5 8.5 0.1 121.2 1312
## 137 137 39 No 26.0943 1187.8 32.8 11.6 0.0 154.9 1913
## 138 138 65 No 21.5851 1446.2 56.8 10.8 0.0 127.9 924
## 139 139 72 No 21.0312 976.7 68.4 3.1 0.0 99.6 728
## 140 140 46 No 23.6773 2706.7 104.9 16.8 22.0 416.0 4387
## 141 141 46 No 30.0587 1546.0 73.6 10.3 7.0 284.8 1976
## 142 142 51 No 34.1851 1324.0 46.0 12.7 0.0 151.0 2422
## 143 143 39 No 24.0812 1368.9 61.6 14.4 6.7 314.9 1407
## 144 144 33 Yes 20.1613 3228.0 141.1 14.4 0.0 718.8 1301
## 145 145 49 No 31.7263 2825.8 97.8 7.5 35.0 374.3 1112
## 146 146 44 No 23.3932 1220.9 35.1 14.0 0.0 99.2 1052
## 147 147 69 No 24.2613 1174.7 47.4 9.9 0.1 89.9 1008
## 148 148 52 No 27.8335 828.2 52.3 6.1 1.2 141.1 1054
## 149 149 82 No 20.2177 1708.1 94.2 15.1 2.0 224.7 1484
## 150 150 46 No 23.4786 1182.9 60.2 5.2 0.2 164.5 657
## 151 151 25 No 22.7051 928.4 29.7 6.0 0.5 120.7 604
## 152 152 54 No 37.8687 4373.6 235.9 22.9 0.1 814.7 2912
## 153 153 70 No 25.7393 1387.7 55.2 11.2 0.0 114.0 869
## 154 154 35 No 18.4385 1555.6 72.8 11.5 0.0 174.1 1578
## 155 155 46 No 33.1948 1581.7 64.1 12.3 0.1 170.1 1210
## 156 156 70 No 29.5966 1397.4 60.5 9.2 0.0 228.5 1554
## 157 157 71 No 22.1532 1305.4 43.3 10.2 0.0 72.7 3445
## 158 158 59 No 26.8868 1249.6 24.2 14.7 0.0 97.2 3014
## 159 159 42 No 20.5412 2347.3 104.4 12.5 0.0 249.3 1666
## 160 160 46 No 39.4062 1207.1 42.8 11.6 0.0 155.1 1462
## 161 161 37 No 33.3723 1688.1 45.0 17.1 0.8 141.1 1272
## 162 162 39 No 21.9409 1719.3 49.7 18.4 11.0 164.6 5296
## 163 163 43 No 25.5828 2501.6 121.1 19.5 0.0 343.0 5605
## 164 164 23 No 20.1259 2219.1 120.9 13.1 2.0 415.8 2430
## 165 165 45 No 20.2398 1827.7 71.2 10.4 2.0 267.5 2375
## 166 166 63 No 23.9217 1282.3 26.4 13.6 0.1 100.6 3753
## 167 167 44 Yes 28.3486 1427.2 60.6 8.3 0.2 195.0 695
## 168 168 43 No 20.4034 2000.8 86.7 14.8 0.9 200.9 1649
## 169 169 33 No 27.8695 1622.4 71.5 12.9 1.0 214.8 2317
## 170 170 35 No 34.0818 3114.0 160.2 14.9 0.2 432.3 1702
## 171 171 50 No 23.0716 2012.0 112.9 14.3 6.5 456.9 1007
## 172 172 50 No 29.0157 2106.4 97.0 12.9 0.0 344.3 2308
## 173 173 59 No 25.5977 1546.6 72.9 15.1 0.7 192.8 4694
## 174 174 38 No 23.0766 1149.0 43.6 8.6 10.5 122.5 2749
## 175 175 60 No 29.7475 659.3 22.2 7.0 0.1 102.0 1497
## 176 176 54 No 19.1770 1580.6 82.9 9.4 5.2 98.3 1171
## 177 177 71 No 24.4634 1850.5 75.9 16.1 7.2 247.9 3054
## 178 178 48 No 22.5319 1242.1 37.5 13.3 1.0 148.4 1488
## 179 179 49 No 32.0177 1099.4 56.9 5.2 0.5 169.9 829
## 180 180 27 Yes 29.2415 1127.6 59.4 7.4 0.0 183.4 1037
## 181 181 27 Yes 25.4454 2919.5 125.3 14.3 1.0 370.0 846
## 182 182 75 No 21.5278 1049.1 51.7 8.0 0.0 188.9 1382
## 183 183 45 No 26.4205 1366.6 42.5 12.9 2.5 141.2 3407
## 184 184 35 No 30.4455 1884.8 91.6 11.1 5.0 518.0 758
## 185 185 56 No 33.5921 1494.5 59.1 6.8 0.0 111.5 599
## 186 186 41 Yes 27.5214 1444.6 89.1 6.8 0.0 280.1 1073
## 187 187 48 No 32.9913 445.2 14.4 5.0 0.0 102.8 862
## 188 188 48 No 21.8351 1849.8 80.6 13.8 3.2 549.1 4291
## 189 189 32 No 20.1579 1678.2 54.3 12.9 1.5 147.3 1668
## 190 190 38 No 46.7376 1390.4 55.7 10.8 0.0 195.1 2809
## 191 191 52 No 33.2962 1749.9 81.3 12.1 0.0 226.5 2373
## 192 192 40 No 24.0103 742.3 36.5 5.9 2.1 133.9 1850
## 193 193 44 No 23.0716 1148.5 50.3 7.1 0.1 139.2 1352
## 194 194 70 No 22.4821 1730.6 72.9 14.4 0.2 363.1 2315
## 195 195 55 Yes 29.0357 1162.5 54.0 5.6 0.2 175.2 1417
## 196 196 48 No 20.2177 1738.9 63.5 12.2 0.5 205.9 4504
## 197 197 38 No 20.7176 1432.1 58.5 6.3 0.2 131.9 998
## 198 198 49 No 20.4034 3098.9 106.2 25.2 1.2 447.6 4430
## 199 199 36 No 32.9594 2342.3 95.8 19.2 1.7 389.4 3201
## 200 200 64 No 21.5011 2319.9 97.6 22.3 0.0 155.3 3686
## 201 201 49 No 23.6794 1292.8 43.1 10.6 11.0 180.7 2131
## 202 202 49 Yes 22.7216 784.4 40.6 4.9 3.0 97.4 852
## 203 203 43 No 22.9146 2038.5 80.7 17.1 0.0 232.3 2781
## 204 204 33 No 23.9378 1366.8 55.9 6.2 0.0 196.0 1151
## 205 205 38 No 26.0943 1550.0 66.8 12.1 0.0 253.2 3970
## 206 206 36 No 19.7664 1240.7 50.9 6.9 0.3 116.0 808
## 207 207 33 No 21.6734 2814.6 111.2 16.8 0.0 399.3 843
## 208 208 47 No 20.8130 1612.5 45.5 9.0 15.0 149.9 2537
## 209 209 53 No 40.6892 1576.3 54.8 13.5 0.1 308.9 2205
## 210 210 41 No 29.1423 1197.7 54.5 4.9 0.0 135.6 587
## 211 211 36 No 21.0778 2045.3 84.8 13.2 0.7 271.9 3591
## 212 212 32 No 35.9753 3328.4 163.3 20.0 4.1 425.5 3434
## 213 213 57 No 26.9429 2513.3 98.9 10.6 0.0 428.1 2869
## 214 214 42 No 21.6784 1737.4 62.1 16.3 0.2 211.7 2515
## 215 215 37 Yes 27.2655 1034.4 34.5 8.9 0.0 118.5 807
## 216 216 52 No 32.6718 2083.9 93.1 8.8 0.0 328.1 766
## 217 217 45 Yes 28.7254 1481.8 75.3 10.4 0.2 336.9 720
## 218 218 42 No 20.7690 1051.2 44.0 10.9 0.2 165.5 516
## 219 219 42 No 21.2065 1730.1 58.3 16.6 4.5 196.1 3785
## 220 220 41 Yes 20.7176 1102.8 56.6 5.3 0.0 329.8 1436
## 221 221 41 No 26.3117 1496.7 64.6 5.9 1.0 239.8 613
## 222 222 26 Yes 20.5412 1987.2 76.6 9.8 0.0 156.1 1460
## 223 223 70 No 20.1613 2017.2 136.0 7.6 0.0 195.8 2251
## 224 224 44 No 26.3675 1525.6 85.4 7.9 0.1 179.4 2029
## 225 225 46 No 28.4020 1342.2 69.7 5.9 1.0 215.4 8046
## 226 226 22 No 50.4033 1511.7 64.4 10.2 0.0 190.3 1074
## 227 227 46 Yes 21.6784 1570.1 74.1 13.7 0.9 145.7 3556
## 228 228 32 No 20.0560 2703.4 120.6 11.4 0.1 284.3 1218
## 229 229 27 No 23.8763 1200.6 61.5 8.7 1.5 208.7 2199
## 230 230 52 No 37.1113 1891.6 73.8 17.6 0.0 226.0 5810
## 231 231 42 No 36.5973 1434.9 59.3 11.2 0.0 281.1 1214
## 232 232 34 No 28.5795 2118.1 93.0 20.1 0.0 170.0 2215
## 233 233 36 No 40.2953 1414.6 51.2 13.7 0.0 135.8 1678
## 234 234 59 No 24.8040 2192.3 78.7 14.2 0.0 173.5 2579
## 235 235 75 No 36.4737 1380.6 54.5 13.5 0.1 201.6 925
## 236 236 43 No 45.8581 1626.3 72.2 7.9 0.0 157.5 404
## 237 237 56 No 30.4824 2210.7 113.1 10.5 6.1 340.1 2008
## 238 238 48 No 19.7039 1600.7 77.7 11.2 7.2 180.1 2469
## 239 239 34 Yes 21.9638 1076.2 52.7 6.1 0.0 78.3 755
## 240 240 37 No 23.3459 2094.5 78.9 17.3 1.0 193.4 1718
## 241 241 41 No 31.8216 1823.0 74.8 12.1 1.3 196.9 2133
## 242 242 74 No 23.3459 1512.1 73.8 8.7 5.7 182.8 1167
## 243 243 73 No 21.0113 840.6 34.3 8.2 0.1 81.1 619
## 244 244 53 Yes 19.7810 1996.1 98.8 9.2 0.0 436.8 908
## 245 245 74 No 21.1364 2171.6 76.6 20.4 0.0 176.3 3690
## 246 246 77 No 24.3272 1481.4 55.0 11.2 0.0 191.7 3425
## 247 247 39 No 21.1781 1829.2 79.0 15.6 0.0 178.4 2787
## 248 248 29 No 18.6003 1041.6 45.4 6.0 3.0 139.5 675
## 249 249 37 No 44.9106 2010.4 101.2 16.0 0.1 362.4 2142
## 250 250 47 No 23.9642 2120.8 77.4 17.0 8.4 185.9 2299
## 251 251 64 No 21.2065 1008.4 35.4 5.6 14.0 37.7 544
## 252 252 36 No 42.8886 798.2 30.6 7.9 2.4 46.3 604
## 253 253 42 No 20.4172 3099.2 134.9 19.0 0.8 469.3 6558
## 254 254 64 No 25.6599 2055.7 114.4 13.0 0.0 248.4 2661
## 255 255 38 No 20.7029 2585.3 129.8 21.1 4.0 429.5 7362
## 256 256 39 No 28.4015 1906.5 86.4 10.4 15.5 265.9 2583
## 257 257 40 No 31.2422 3014.9 165.7 14.4 0.0 900.7 1028
## 258 258 29 No 37.9400 1631.0 55.6 13.8 0.5 189.5 3435
## 259 259 71 No 24.9883 1399.5 66.5 9.6 8.0 260.0 1527
## 260 260 45 No 23.4316 2319.0 122.1 13.4 0.1 305.7 2047
## 261 261 63 No 18.9209 1655.9 70.8 15.1 0.1 177.3 2897
## 262 262 46 No 24.2613 1422.8 58.3 7.8 7.1 206.3 1987
## 263 263 75 No 21.6784 2511.5 92.3 36.8 0.6 228.3 4271
## 264 264 46 No 35.1907 740.6 38.5 5.3 0.0 113.9 868
## 265 265 44 No 22.5440 1292.6 49.4 10.4 1.2 186.5 578
## 266 266 24 No 31.9972 3021.9 171.0 11.4 0.1 466.3 953
## 267 267 32 No 22.5121 1918.4 63.1 16.1 5.0 202.2 1048
## 268 268 66 No 22.6438 2086.6 72.3 16.0 0.0 112.8 1439
## 269 269 43 No 26.3475 3449.7 172.8 20.5 1.4 381.3 3324
## 270 270 73 No 24.9412 1186.4 46.1 10.5 1.5 119.7 921
## 271 271 54 No 25.7501 1724.7 75.1 18.2 0.0 173.3 1192
## 272 272 44 Yes 29.9774 1877.4 92.2 7.7 0.2 211.6 1665
## 273 273 55 No 22.8771 2272.6 94.5 10.9 14.2 269.2 3610
## 274 274 70 Yes 23.8270 1514.4 51.7 14.2 7.0 97.5 3317
## 275 275 32 No 25.4573 2170.3 95.1 15.2 0.2 175.2 3313
## 276 276 33 No 23.2690 2271.1 114.6 10.4 0.0 574.2 1270
## 277 277 49 No 22.5064 1469.9 50.4 12.1 0.7 118.8 1915
## 278 278 69 No 44.2062 2332.2 109.6 19.7 0.1 286.7 4013
## 279 279 38 No 20.7173 1619.3 83.7 8.4 0.5 310.1 902
## 280 280 34 Yes 34.0818 1148.7 41.7 9.8 1.0 173.4 2247
## 281 281 49 No 20.0895 2512.0 64.9 30.2 0.6 168.5 4832
## 282 282 40 Yes 18.3432 833.0 38.8 5.5 0.0 145.3 577
## 283 283 41 No 28.0470 1808.4 61.5 10.5 17.0 176.1 1884
## 284 284 62 No 29.8494 2115.4 84.1 23.9 0.0 189.5 3172
## 285 285 28 No 20.1250 1600.9 68.0 14.2 0.2 171.2 3102
## 286 286 78 No 41.6857 647.7 30.9 3.7 0.0 87.5 1186
## 287 287 67 No 30.7309 849.2 25.4 10.9 0.0 91.7 1237
## 288 288 51 No 24.9082 2166.9 105.8 15.6 0.0 349.1 4098
## 289 289 29 Yes 26.6874 2476.2 121.1 14.3 0.0 263.5 2889
## 290 290 36 Yes 25.7393 1959.3 112.4 6.7 0.5 326.7 1097
## 291 291 43 No 18.5769 1695.3 62.4 17.7 0.0 147.3 570
## 292 292 55 No 25.4258 2307.8 111.0 18.4 3.4 487.8 2627
## 293 293 54 No 24.9550 1392.2 47.8 12.9 0.0 87.5 849
## 294 294 32 No 39.5620 3511.1 114.7 13.9 0.2 444.7 2174
## 295 295 65 No 26.7596 1276.0 60.5 12.0 3.5 87.3 1456
## 296 296 41 Yes 41.6495 2685.1 133.1 11.1 15.0 432.4 3728
## 297 297 60 No 40.6953 1327.0 64.8 9.3 0.1 341.0 1987
## 298 298 73 No 25.8473 853.1 29.8 6.3 10.0 160.5 1022
## 299 299 71 No 21.8109 1215.8 43.8 12.3 5.0 110.8 2079
## 300 300 47 No 37.2776 1927.6 92.5 10.7 0.0 359.1 406
## 301 301 35 No 29.5855 2466.9 112.6 9.6 0.1 331.9 621
## 302 302 34 Yes 21.3291 3103.7 124.7 18.1 8.3 431.0 2652
## 303 303 41 No 34.6149 2046.9 103.0 13.1 0.0 334.2 1745
## 304 304 33 No 18.5769 1835.9 74.1 23.0 0.7 184.2 2121
## 305 305 73 Yes 20.7112 1678.5 82.3 6.3 14.1 249.5 1078
## 306 306 67 No 26.9429 1049.2 44.6 9.6 0.0 247.2 2672
## 307 307 66 No 33.1076 1762.1 72.9 16.5 0.0 240.3 4935
## 308 308 44 Yes 23.2772 3183.1 119.4 6.9 35.0 378.8 1118
## 309 309 36 No 24.7434 2838.8 88.5 24.0 4.5 252.4 9642
## 310 310 48 No 24.6147 2021.1 72.2 16.6 9.0 299.1 1392
## 311 311 46 No 25.8967 2263.6 98.2 19.4 2.6 306.5 2572
## 312 312 45 No 23.8270 1841.1 84.2 14.1 2.2 257.7 1665
## 313 313 49 No 24.2613 1125.6 44.8 11.9 4.0 150.5 6943
## 314 314 31 No 23.4525 2729.6 144.4 13.2 2.2 381.8 741
## 315 315 45 No 26.5081 1627.0 77.4 9.9 0.2 195.6 1242
## RetinolDiet BetaPlasma RetinolPlasma Gender VitaminUse PriorSmoke
## 1 890 200 915 Female Regular 2
## 2 451 124 727 Female Regular 1
## 3 660 328 721 Female Occasional 2
## 4 864 153 615 Female No 2
## 5 1209 92 799 Female Regular 1
## 6 1439 148 654 Female No 2
## 7 802 258 834 Female Occasional 1
## 8 2571 64 825 Female Regular 1
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## 11 535 184 935 Female Regular 2
## 12 492 91 741 Female Occasional 1
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## 18 479 288 1262 Male Regular 2
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## 21 926 74 684 Male No 2
## 22 695 129 537 Female No 2
## 23 944 140 760 Female No 1
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## 26 554 416 676 Female Regular 1
## 27 320 212 822 Female Occasional 2
## 28 656 786 691 Female Regular 1
## 29 1199 35 599 Male No 1
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## 31 914 119 818 Female No 2
## 32 1579 182 623 Female Occasional 2
## 33 1618 186 624 Female No 3
## 34 1759 216 526 Female No 1
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## 37 517 107 564 Female Occasional 2
## 38 314 74 456 Female No 2
## 39 588 418 665 Male Regular 3
## 40 674 1415 632 Female Regular 1
## 41 419 400 502 Female No 1
## 42 1083 102 838 Female No 2
## 43 834 135 574 Female Occasional 2
## 44 473 97 611 Female Occasional 3
## 45 707 124 476 Female Occasional 1
## 46 323 195 546 Female Regular 1
## 47 651 107 411 Female Regular 1
## 48 855 53 475 Female No 1
## 49 264 148 321 Male Regular 2
## 50 550 77 388 Female No 3
## 51 969 316 586 Female No 1
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## 53 374 266 550 Female Occasional 1
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## 55 809 225 258 Female Regular 1
## 56 1065 173 299 Female Regular 1
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## 58 1359 102 692 Female Regular 2
## 59 685 158 634 Female Occasional 1
## 60 724 159 592 Female Occasional 1
## 61 898 157 383 Female Regular 1
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## 63 1250 160 247 Female Regular 1
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## 65 854 293 587 Female Regular 2
## 66 493 171 407 Male No 1
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## 68 1120 109 531 Female Occasional 3
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## 70 724 87 397 Female No 1
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## 74 464 204 624 Female No 3
## 75 1470 75 227 Male Regular 1
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## 77 1163 131 542 Female Regular 2
## 78 743 21 558 Male No 2
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## 83 619 82 783 Male Regular 2
## 84 1066 327 693 Female Regular 1
## 85 394 142 511 Female Regular 1
## 86 1702 86 435 Female Regular 2
## 87 928 150 362 Female No 2
## 88 1458 53 592 Male No 3
## 89 1323 112 360 Male No 3
## 90 578 104 476 Female Regular 1
## 91 1048 170 369 Female Regular 1
## 92 1006 150 619 Female No 2
## 93 640 282 472 Female Regular 1
## 94 4041 91 426 Male Regular 2
## 95 783 125 592 Female Regular 2
## 96 341 282 426 Male Occasional 1
## 97 1525 16 799 Female Regular 2
## 98 233 129 497 Female Regular 2
## 99 1838 180 622 Female No 2
## 100 1291 39 549 Male No 3
## 101 914 54 539 Female Regular 3
## 102 695 78 522 Male Occasional 2
## 103 842 34 551 Male No 2
## 104 881 95 466 Female Occasional 1
## 105 1326 174 423 Male Occasional 1
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## 107 1070 97 532 Female Occasional 2
## 108 490 204 422 Female Occasional 2
## 109 350 25 421 Female No 3
## 110 652 270 527 Female Occasional 2
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## 112 546 110 756 Female Regular 1
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## 119 1845 254 523 Female Regular 2
## 120 1101 189 588 Female Regular 1
## 121 950 108 564 Female Regular 1
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## 123 2263 238 953 Male Regular 2
## 124 1328 127 516 Male No 3
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## 127 728 305 727 Female Occasional 1
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## 130 1374 168 586 Female Occasional 1
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## 135 426 253 629 Male Regular 1
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## 138 684 156 372 Female Regular 1
## 139 797 27 558 Female Regular 2
## 140 926 52 476 Male No 2
## 141 417 210 418 Female No 1
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## 152 2104 121 416 Female Regular 1
## 153 1595 292 701 Female Occasional 1
## 154 689 207 553 Female Occasional 1
## 155 795 118 652 Female Occasional 1
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## 158 1340 408 784 Female Regular 1
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## 164 746 104 400 Female Regular 1
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## 168 751 487 453 Female Regular 1
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## 170 1224 43 434 Female No 2
## 171 6901 274 592 Female No 1
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## 175 244 116 700 Female No 2
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## 190 482 53 277 Female Occasional 1
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## 238 538 76 561 Female No 2
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## 249 601 129 557 Female Occasional 1
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## 251 30 44 521 Female No 1
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## 253 816 103 436 Female No 2
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## 297 670 22 581 Female No 2
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## 315 554 233 826 Female Regular 1
## VitaminUseNum VitaminUseNum2 vitReg vitOcc vitNo vitReg1 vitOcc1 AlcoholNum
## 1 1 3 1 0 0 1 0 0
## 2 1 3 1 0 0 1 0 0
## 3 2 2 0 1 0 0 1 2
## 4 3 1 0 0 1 -1 -1 1
## 5 1 3 1 0 0 1 0 0
## 6 3 1 0 0 1 -1 -1 1
## 7 2 2 0 1 0 0 1 0
## 8 1 3 1 0 0 1 0 0
## 9 3 1 0 0 1 -1 -1 1
## 10 3 1 0 0 1 -1 -1 0
## 11 1 3 1 0 0 1 0 1
## 12 2 2 0 1 0 0 1 0
## 13 3 1 0 0 1 -1 -1 1
## 14 1 3 1 0 0 1 0 0
## 15 3 1 0 0 1 -1 -1 0
## 16 3 1 0 0 1 -1 -1 2
## 17 1 3 1 0 0 1 0 2
## 18 1 3 1 0 0 1 0 1
## 19 3 1 0 0 1 -1 -1 0
## 20 3 1 0 0 1 -1 -1 1
## 21 3 1 0 0 1 -1 -1 1
## 22 3 1 0 0 1 -1 -1 1
## 23 3 1 0 0 1 -1 -1 2
## 24 2 2 0 1 0 0 1 1
## 25 1 3 1 0 0 1 0 1
## 26 1 3 1 0 0 1 0 1
## 27 2 2 0 1 0 0 1 0
## 28 1 3 1 0 0 1 0 0
## 29 3 1 0 0 1 -1 -1 0
## 30 3 1 0 0 1 -1 -1 1
## 31 3 1 0 0 1 -1 -1 0
## 32 2 2 0 1 0 0 1 1
## 33 3 1 0 0 1 -1 -1 1
## 34 3 1 0 0 1 -1 -1 1
## 35 2 2 0 1 0 0 1 1
## 36 1 3 1 0 0 1 0 0
## 37 2 2 0 1 0 0 1 1
## 38 3 1 0 0 1 -1 -1 1
## 39 1 3 1 0 0 1 0 0
## 40 1 3 1 0 0 1 0 1
## 41 3 1 0 0 1 -1 -1 0
## 42 3 1 0 0 1 -1 -1 1
## 43 2 2 0 1 0 0 1 1
## 44 2 2 0 1 0 0 1 1
## 45 2 2 0 1 0 0 1 1
## 46 1 3 1 0 0 1 0 1
## 47 1 3 1 0 0 1 0 0
## 48 3 1 0 0 1 -1 -1 1
## 49 1 3 1 0 0 1 0 0
## 50 3 1 0 0 1 -1 -1 2
## 51 3 1 0 0 1 -1 -1 1
## 52 1 3 1 0 0 1 0 1
## 53 2 2 0 1 0 0 1 1
## 54 3 1 0 0 1 -1 -1 2
## 55 1 3 1 0 0 1 0 0
## 56 1 3 1 0 0 1 0 1
## 57 2 2 0 1 0 0 1 1
## 58 1 3 1 0 0 1 0 1
## 59 2 2 0 1 0 0 1 1
## 60 2 2 0 1 0 0 1 1
## 61 1 3 1 0 0 1 0 0
## 62 3 1 0 0 1 -1 -1 2
## 63 1 3 1 0 0 1 0 1
## 64 1 3 1 0 0 1 0 1
## 65 1 3 1 0 0 1 0 0
## 66 3 1 0 0 1 -1 -1 1
## 67 3 1 0 0 1 -1 -1 0
## 68 2 2 0 1 0 0 1 1
## 69 3 1 0 0 1 -1 -1 1
## 70 3 1 0 0 1 -1 -1 1
## 71 2 2 0 1 0 0 1 1
## 72 2 2 0 1 0 0 1 0
## 73 1 3 1 0 0 1 0 1
## 74 3 1 0 0 1 -1 -1 1
## 75 1 3 1 0 0 1 0 2
## 76 3 1 0 0 1 -1 -1 1
## 77 1 3 1 0 0 1 0 1
## 78 3 1 0 0 1 -1 -1 2
## 79 2 2 0 1 0 0 1 1
## 80 1 3 1 0 0 1 0 2
## 81 3 1 0 0 1 -1 -1 0
## 82 1 3 1 0 0 1 0 1
## 83 1 3 1 0 0 1 0 1
## 84 1 3 1 0 0 1 0 0
## 85 1 3 1 0 0 1 0 1
## 86 1 3 1 0 0 1 0 0
## 87 3 1 0 0 1 -1 -1 1
## 88 3 1 0 0 1 -1 -1 1
## 89 3 1 0 0 1 -1 -1 0
## 90 1 3 1 0 0 1 0 0
## 91 1 3 1 0 0 1 0 1
## 92 3 1 0 0 1 -1 -1 1
## 93 1 3 1 0 0 1 0 1
## 94 1 3 1 0 0 1 0 0
## 95 1 3 1 0 0 1 0 2
## 96 2 2 0 1 0 0 1 1
## 97 1 3 1 0 0 1 0 1
## 98 1 3 1 0 0 1 0 1
## 99 3 1 0 0 1 -1 -1 2
## 100 3 1 0 0 1 -1 -1 0
## 101 1 3 1 0 0 1 0 0
## 102 2 2 0 1 0 0 1 1
## 103 3 1 0 0 1 -1 -1 0
## 104 2 2 0 1 0 0 1 1
## 105 2 2 0 1 0 0 1 0
## 106 3 1 0 0 1 -1 -1 1
## 107 2 2 0 1 0 0 1 1
## 108 2 2 0 1 0 0 1 1
## 109 3 1 0 0 1 -1 -1 0
## 110 2 2 0 1 0 0 1 1
## 111 1 3 1 0 0 1 0 0
## 112 1 3 1 0 0 1 0 1
## 113 3 1 0 0 1 -1 -1 1
## 114 2 2 0 1 0 0 1 0
## 115 3 1 0 0 1 -1 -1 0
## 116 3 1 0 0 1 -1 -1 0
## 117 2 2 0 1 0 0 1 1
## 118 1 3 1 0 0 1 0 0
## 119 1 3 1 0 0 1 0 1
## 120 1 3 1 0 0 1 0 0
## 121 1 3 1 0 0 1 0 0
## 122 1 3 1 0 0 1 0 1
## 123 1 3 1 0 0 1 0 1
## 124 3 1 0 0 1 -1 -1 0
## 125 2 2 0 1 0 0 1 1
## 126 3 1 0 0 1 -1 -1 1
## 127 2 2 0 1 0 0 1 1
## 128 3 1 0 0 1 -1 -1 1
## 129 1 3 1 0 0 1 0 0
## 130 2 2 0 1 0 0 1 1
## 131 3 1 0 0 1 -1 -1 1
## 132 1 3 1 0 0 1 0 0
## 133 3 1 0 0 1 -1 -1 0
## 134 3 1 0 0 1 -1 -1 1
## 135 1 3 1 0 0 1 0 0
## 136 1 3 1 0 0 1 0 1
## 137 2 2 0 1 0 0 1 0
## 138 1 3 1 0 0 1 0 0
## 139 1 3 1 0 0 1 0 0
## 140 3 1 0 0 1 -1 -1 2
## 141 3 1 0 0 1 -1 -1 1
## 142 3 1 0 0 1 -1 -1 0
## 143 1 3 1 0 0 1 0 1
## 144 3 1 0 0 1 -1 -1 0
## 145 3 1 0 0 1 -1 -1 2
## 146 3 1 0 0 1 -1 -1 0
## 147 3 1 0 0 1 -1 -1 1
## 148 3 1 0 0 1 -1 -1 1
## 149 1 3 1 0 0 1 0 1
## 150 3 1 0 0 1 -1 -1 1
## 151 2 2 0 1 0 0 1 1
## 152 1 3 1 0 0 1 0 1
## 153 2 2 0 1 0 0 1 0
## 154 2 2 0 1 0 0 1 0
## 155 2 2 0 1 0 0 1 1
## 156 3 1 0 0 1 -1 -1 0
## 157 1 3 1 0 0 1 0 0
## 158 1 3 1 0 0 1 0 0
## 159 1 3 1 0 0 1 0 0
## 160 3 1 0 0 1 -1 -1 0
## 161 1 3 1 0 0 1 0 1
## 162 2 2 0 1 0 0 1 2
## 163 1 3 1 0 0 1 0 0
## 164 1 3 1 0 0 1 0 1
## 165 1 3 1 0 0 1 0 1
## 166 1 3 1 0 0 1 0 1
## 167 2 2 0 1 0 0 1 1
## 168 1 3 1 0 0 1 0 1
## 169 3 1 0 0 1 -1 -1 1
## 170 3 1 0 0 1 -1 -1 1
## 171 3 1 0 0 1 -1 -1 1
## 172 2 2 0 1 0 0 1 0
## 173 1 3 1 0 0 1 0 1
## 174 3 1 0 0 1 -1 -1 2
## 175 3 1 0 0 1 -1 -1 1
## 176 1 3 1 0 0 1 0 1
## 177 3 1 0 0 1 -1 -1 1
## 178 1 3 1 0 0 1 0 1
## 179 1 3 1 0 0 1 0 1
## 180 3 1 0 0 1 -1 -1 0
## 181 2 2 0 1 0 0 1 1
## 182 1 3 1 0 0 1 0 0
## 183 2 2 0 1 0 0 1 1
## 184 3 1 0 0 1 -1 -1 1
## 185 1 3 1 0 0 1 0 0
## 186 2 2 0 1 0 0 1 0
## 187 1 3 1 0 0 1 0 0
## 188 1 3 1 0 0 1 0 1
## 189 2 2 0 1 0 0 1 1
## 190 2 2 0 1 0 0 1 0
## 191 2 2 0 1 0 0 1 0
## 192 3 1 0 0 1 -1 -1 1
## 193 3 1 0 0 1 -1 -1 1
## 194 1 3 1 0 0 1 0 1
## 195 3 1 0 0 1 -1 -1 1
## 196 1 3 1 0 0 1 0 1
## 197 3 1 0 0 1 -1 -1 1
## 198 1 3 1 0 0 1 0 1
## 199 2 2 0 1 0 0 1 1
## 200 1 3 1 0 0 1 0 0
## 201 2 2 0 1 0 0 1 2
## 202 1 3 1 0 0 1 0 1
## 203 2 2 0 1 0 0 1 0
## 204 2 2 0 1 0 0 1 0
## 205 1 3 1 0 0 1 0 0
## 206 2 2 0 1 0 0 1 1
## 207 2 2 0 1 0 0 1 0
## 208 1 3 1 0 0 1 0 2
## 209 1 3 1 0 0 1 0 1
## 210 1 3 1 0 0 1 0 0
## 211 1 3 1 0 0 1 0 1
## 212 2 2 0 1 0 0 1 1
## 213 1 3 1 0 0 1 0 0
## 214 1 3 1 0 0 1 0 1
## 215 1 3 1 0 0 1 0 0
## 216 1 3 1 0 0 1 0 0
## 217 2 2 0 1 0 0 1 1
## 218 3 1 0 0 1 -1 -1 1
## 219 1 3 1 0 0 1 0 1
## 220 3 1 0 0 1 -1 -1 0
## 221 1 3 1 0 0 1 0 1
## 222 1 3 1 0 0 1 0 0
## 223 3 1 0 0 1 -1 -1 0
## 224 1 3 1 0 0 1 0 1
## 225 3 1 0 0 1 -1 -1 1
## 226 3 1 0 0 1 -1 -1 0
## 227 3 1 0 0 1 -1 -1 1
## 228 1 3 1 0 0 1 0 1
## 229 3 1 0 0 1 -1 -1 1
## 230 3 1 0 0 1 -1 -1 0
## 231 1 3 1 0 0 1 0 0
## 232 3 1 0 0 1 -1 -1 0
## 233 2 2 0 1 0 0 1 0
## 234 1 3 1 0 0 1 0 0
## 235 2 2 0 1 0 0 1 1
## 236 1 3 1 0 0 1 0 0
## 237 3 1 0 0 1 -1 -1 1
## 238 3 1 0 0 1 -1 -1 1
## 239 3 1 0 0 1 -1 -1 0
## 240 2 2 0 1 0 0 1 1
## 241 2 2 0 1 0 0 1 1
## 242 1 3 1 0 0 1 0 1
## 243 3 1 0 0 1 -1 -1 1
## 244 2 2 0 1 0 0 1 0
## 245 3 1 0 0 1 -1 -1 0
## 246 1 3 1 0 0 1 0 0
## 247 1 3 1 0 0 1 0 0
## 248 2 2 0 1 0 0 1 1
## 249 2 2 0 1 0 0 1 1
## 250 3 1 0 0 1 -1 -1 1
## 251 3 1 0 0 1 -1 -1 2
## 252 3 1 0 0 1 -1 -1 1
## 253 3 1 0 0 1 -1 -1 1
## 254 2 2 0 1 0 0 1 0
## 255 1 3 1 0 0 1 0 1
## 256 2 2 0 1 0 0 1 2
## 257 1 3 1 0 0 1 0 0
## 258 1 3 1 0 0 1 0 1
## 259 3 1 0 0 1 -1 -1 1
## 260 1 3 1 0 0 1 0 1
## 261 3 1 0 0 1 -1 -1 1
## 262 2 2 0 1 0 0 1 1
## 263 1 3 1 0 0 1 0 1
## 264 2 2 0 1 0 0 1 0
## 265 2 2 0 1 0 0 1 1
## 266 3 1 0 0 1 -1 -1 1
## 267 1 3 1 0 0 1 0 1
## 268 3 1 0 0 1 -1 -1 0
## 269 2 2 0 1 0 0 1 1
## 270 1 3 1 0 0 1 0 1
## 271 1 3 1 0 0 1 0 0
## 272 3 1 0 0 1 -1 -1 1
## 273 3 1 0 0 1 -1 -1 2
## 274 3 1 0 0 1 -1 -1 1
## 275 1 3 1 0 0 1 0 1
## 276 2 2 0 1 0 0 1 0
## 277 3 1 0 0 1 -1 -1 1
## 278 3 1 0 0 1 -1 -1 1
## 279 2 2 0 1 0 0 1 1
## 280 3 1 0 0 1 -1 -1 1
## 281 1 3 1 0 0 1 0 1
## 282 2 2 0 1 0 0 1 0
## 283 3 1 0 0 1 -1 -1 2
## 284 3 1 0 0 1 -1 -1 0
## 285 2 2 0 1 0 0 1 1
## 286 2 2 0 1 0 0 1 0
## 287 1 3 1 0 0 1 0 0
## 288 2 2 0 1 0 0 1 0
## 289 2 2 0 1 0 0 1 0
## 290 3 1 0 0 1 -1 -1 1
## 291 3 1 0 0 1 -1 -1 0
## 292 2 2 0 1 0 0 1 1
## 293 1 3 1 0 0 1 0 0
## 294 2 2 0 1 0 0 1 1
## 295 3 1 0 0 1 -1 -1 1
## 296 1 3 1 0 0 1 0 2
## 297 3 1 0 0 1 -1 -1 1
## 298 2 2 0 1 0 0 1 2
## 299 1 3 1 0 0 1 0 1
## 300 3 1 0 0 1 -1 -1 0
## 301 2 2 0 1 0 0 1 1
## 302 1 3 1 0 0 1 0 1
## 303 3 1 0 0 1 -1 -1 0
## 304 1 3 1 0 0 1 0 1
## 305 2 2 0 1 0 0 1 2
## 306 1 3 1 0 0 1 0 0
## 307 2 2 0 1 0 0 1 0
## 308 2 2 0 1 0 0 1 2
## 309 2 2 0 1 0 0 1 1
## 310 2 2 0 1 0 0 1 1
## 311 3 1 0 0 1 -1 -1 1
## 312 1 3 1 0 0 1 0 1
## 313 1 3 1 0 0 1 0 1
## 314 1 3 1 0 0 1 0 1
## 315 1 3 1 0 0 1 0 1
## AlcoholNumHi AlcoholNumMid regHi regMid occHi occMid
## 1 -1 -1 -1 -1 0 0
## 2 -1 -1 -1 -1 0 0
## 3 1 0 0 0 1 0
## 4 0 1 0 -1 0 -1
## 5 -1 -1 -1 -1 0 0
## 6 0 1 0 -1 0 -1
## 7 -1 -1 0 0 -1 -1
## 8 -1 -1 -1 -1 0 0
## 9 0 1 0 -1 0 -1
## 10 -1 -1 1 1 1 1
## 11 0 1 0 1 0 0
## 12 -1 -1 0 0 -1 -1
## 13 0 1 0 -1 0 -1
## 14 -1 -1 -1 -1 0 0
## 15 -1 -1 1 1 1 1
## 16 1 0 -1 0 -1 0
## 17 1 0 1 0 0 0
## 18 0 1 0 1 0 0
## 19 -1 -1 1 1 1 1
## 20 0 1 0 -1 0 -1
## 21 0 1 0 -1 0 -1
## 22 0 1 0 -1 0 -1
## 23 1 0 -1 0 -1 0
## 24 0 1 0 0 0 1
## 25 0 1 0 1 0 0
## 26 0 1 0 1 0 0
## 27 -1 -1 0 0 -1 -1
## 28 -1 -1 -1 -1 0 0
## 29 -1 -1 1 1 1 1
## 30 0 1 0 -1 0 -1
## 31 -1 -1 1 1 1 1
## 32 0 1 0 0 0 1
## 33 0 1 0 -1 0 -1
## 34 0 1 0 -1 0 -1
## 35 0 1 0 0 0 1
## 36 -1 -1 -1 -1 0 0
## 37 0 1 0 0 0 1
## 38 0 1 0 -1 0 -1
## 39 -1 -1 -1 -1 0 0
## 40 0 1 0 1 0 0
## 41 -1 -1 1 1 1 1
## 42 0 1 0 -1 0 -1
## 43 0 1 0 0 0 1
## 44 0 1 0 0 0 1
## 45 0 1 0 0 0 1
## 46 0 1 0 1 0 0
## 47 -1 -1 -1 -1 0 0
## 48 0 1 0 -1 0 -1
## 49 -1 -1 -1 -1 0 0
## 50 1 0 -1 0 -1 0
## 51 0 1 0 -1 0 -1
## 52 0 1 0 1 0 0
## 53 0 1 0 0 0 1
## 54 1 0 -1 0 -1 0
## 55 -1 -1 -1 -1 0 0
## 56 0 1 0 1 0 0
## 57 0 1 0 0 0 1
## 58 0 1 0 1 0 0
## 59 0 1 0 0 0 1
## 60 0 1 0 0 0 1
## 61 -1 -1 -1 -1 0 0
## 62 1 0 -1 0 -1 0
## 63 0 1 0 1 0 0
## 64 0 1 0 1 0 0
## 65 -1 -1 -1 -1 0 0
## 66 0 1 0 -1 0 -1
## 67 -1 -1 1 1 1 1
## 68 0 1 0 0 0 1
## 69 0 1 0 -1 0 -1
## 70 0 1 0 -1 0 -1
## 71 0 1 0 0 0 1
## 72 -1 -1 0 0 -1 -1
## 73 0 1 0 1 0 0
## 74 0 1 0 -1 0 -1
## 75 1 0 1 0 0 0
## 76 0 1 0 -1 0 -1
## 77 0 1 0 1 0 0
## 78 1 0 -1 0 -1 0
## 79 0 1 0 0 0 1
## 80 1 0 1 0 0 0
## 81 -1 -1 1 1 1 1
## 82 0 1 0 1 0 0
## 83 0 1 0 1 0 0
## 84 -1 -1 -1 -1 0 0
## 85 0 1 0 1 0 0
## 86 -1 -1 -1 -1 0 0
## 87 0 1 0 -1 0 -1
## 88 0 1 0 -1 0 -1
## 89 -1 -1 1 1 1 1
## 90 -1 -1 -1 -1 0 0
## 91 0 1 0 1 0 0
## 92 0 1 0 -1 0 -1
## 93 0 1 0 1 0 0
## 94 -1 -1 -1 -1 0 0
## 95 1 0 1 0 0 0
## 96 0 1 0 0 0 1
## 97 0 1 0 1 0 0
## 98 0 1 0 1 0 0
## 99 1 0 -1 0 -1 0
## 100 -1 -1 1 1 1 1
## 101 -1 -1 -1 -1 0 0
## 102 0 1 0 0 0 1
## 103 -1 -1 1 1 1 1
## 104 0 1 0 0 0 1
## 105 -1 -1 0 0 -1 -1
## 106 0 1 0 -1 0 -1
## 107 0 1 0 0 0 1
## 108 0 1 0 0 0 1
## 109 -1 -1 1 1 1 1
## 110 0 1 0 0 0 1
## 111 -1 -1 -1 -1 0 0
## 112 0 1 0 1 0 0
## 113 0 1 0 -1 0 -1
## 114 -1 -1 0 0 -1 -1
## 115 -1 -1 1 1 1 1
## 116 -1 -1 1 1 1 1
## 117 0 1 0 0 0 1
## 118 -1 -1 -1 -1 0 0
## 119 0 1 0 1 0 0
## 120 -1 -1 -1 -1 0 0
## 121 -1 -1 -1 -1 0 0
## 122 0 1 0 1 0 0
## 123 0 1 0 1 0 0
## 124 -1 -1 1 1 1 1
## 125 0 1 0 0 0 1
## 126 0 1 0 -1 0 -1
## 127 0 1 0 0 0 1
## 128 0 1 0 -1 0 -1
## 129 -1 -1 -1 -1 0 0
## 130 0 1 0 0 0 1
## 131 0 1 0 -1 0 -1
## 132 -1 -1 -1 -1 0 0
## 133 -1 -1 1 1 1 1
## 134 0 1 0 -1 0 -1
## 135 -1 -1 -1 -1 0 0
## 136 0 1 0 1 0 0
## 137 -1 -1 0 0 -1 -1
## 138 -1 -1 -1 -1 0 0
## 139 -1 -1 -1 -1 0 0
## 140 1 0 -1 0 -1 0
## 141 0 1 0 -1 0 -1
## 142 -1 -1 1 1 1 1
## 143 0 1 0 1 0 0
## 144 -1 -1 1 1 1 1
## 145 1 0 -1 0 -1 0
## 146 -1 -1 1 1 1 1
## 147 0 1 0 -1 0 -1
## 148 0 1 0 -1 0 -1
## 149 0 1 0 1 0 0
## 150 0 1 0 -1 0 -1
## 151 0 1 0 0 0 1
## 152 0 1 0 1 0 0
## 153 -1 -1 0 0 -1 -1
## 154 -1 -1 0 0 -1 -1
## 155 0 1 0 0 0 1
## 156 -1 -1 1 1 1 1
## 157 -1 -1 -1 -1 0 0
## 158 -1 -1 -1 -1 0 0
## 159 -1 -1 -1 -1 0 0
## 160 -1 -1 1 1 1 1
## 161 0 1 0 1 0 0
## 162 1 0 0 0 1 0
## 163 -1 -1 -1 -1 0 0
## 164 0 1 0 1 0 0
## 165 0 1 0 1 0 0
## 166 0 1 0 1 0 0
## 167 0 1 0 0 0 1
## 168 0 1 0 1 0 0
## 169 0 1 0 -1 0 -1
## 170 0 1 0 -1 0 -1
## 171 0 1 0 -1 0 -1
## 172 -1 -1 0 0 -1 -1
## 173 0 1 0 1 0 0
## 174 1 0 -1 0 -1 0
## 175 0 1 0 -1 0 -1
## 176 0 1 0 1 0 0
## 177 0 1 0 -1 0 -1
## 178 0 1 0 1 0 0
## 179 0 1 0 1 0 0
## 180 -1 -1 1 1 1 1
## 181 0 1 0 0 0 1
## 182 -1 -1 -1 -1 0 0
## 183 0 1 0 0 0 1
## 184 0 1 0 -1 0 -1
## 185 -1 -1 -1 -1 0 0
## 186 -1 -1 0 0 -1 -1
## 187 -1 -1 -1 -1 0 0
## 188 0 1 0 1 0 0
## 189 0 1 0 0 0 1
## 190 -1 -1 0 0 -1 -1
## 191 -1 -1 0 0 -1 -1
## 192 0 1 0 -1 0 -1
## 193 0 1 0 -1 0 -1
## 194 0 1 0 1 0 0
## 195 0 1 0 -1 0 -1
## 196 0 1 0 1 0 0
## 197 0 1 0 -1 0 -1
## 198 0 1 0 1 0 0
## 199 0 1 0 0 0 1
## 200 -1 -1 -1 -1 0 0
## 201 1 0 0 0 1 0
## 202 0 1 0 1 0 0
## 203 -1 -1 0 0 -1 -1
## 204 -1 -1 0 0 -1 -1
## 205 -1 -1 -1 -1 0 0
## 206 0 1 0 0 0 1
## 207 -1 -1 0 0 -1 -1
## 208 1 0 1 0 0 0
## 209 0 1 0 1 0 0
## 210 -1 -1 -1 -1 0 0
## 211 0 1 0 1 0 0
## 212 0 1 0 0 0 1
## 213 -1 -1 -1 -1 0 0
## 214 0 1 0 1 0 0
## 215 -1 -1 -1 -1 0 0
## 216 -1 -1 -1 -1 0 0
## 217 0 1 0 0 0 1
## 218 0 1 0 -1 0 -1
## 219 0 1 0 1 0 0
## 220 -1 -1 1 1 1 1
## 221 0 1 0 1 0 0
## 222 -1 -1 -1 -1 0 0
## 223 -1 -1 1 1 1 1
## 224 0 1 0 1 0 0
## 225 0 1 0 -1 0 -1
## 226 -1 -1 1 1 1 1
## 227 0 1 0 -1 0 -1
## 228 0 1 0 1 0 0
## 229 0 1 0 -1 0 -1
## 230 -1 -1 1 1 1 1
## 231 -1 -1 -1 -1 0 0
## 232 -1 -1 1 1 1 1
## 233 -1 -1 0 0 -1 -1
## 234 -1 -1 -1 -1 0 0
## 235 0 1 0 0 0 1
## 236 -1 -1 -1 -1 0 0
## 237 0 1 0 -1 0 -1
## 238 0 1 0 -1 0 -1
## 239 -1 -1 1 1 1 1
## 240 0 1 0 0 0 1
## 241 0 1 0 0 0 1
## 242 0 1 0 1 0 0
## 243 0 1 0 -1 0 -1
## 244 -1 -1 0 0 -1 -1
## 245 -1 -1 1 1 1 1
## 246 -1 -1 -1 -1 0 0
## 247 -1 -1 -1 -1 0 0
## 248 0 1 0 0 0 1
## 249 0 1 0 0 0 1
## 250 0 1 0 -1 0 -1
## 251 1 0 -1 0 -1 0
## 252 0 1 0 -1 0 -1
## 253 0 1 0 -1 0 -1
## 254 -1 -1 0 0 -1 -1
## 255 0 1 0 1 0 0
## 256 1 0 0 0 1 0
## 257 -1 -1 -1 -1 0 0
## 258 0 1 0 1 0 0
## 259 0 1 0 -1 0 -1
## 260 0 1 0 1 0 0
## 261 0 1 0 -1 0 -1
## 262 0 1 0 0 0 1
## 263 0 1 0 1 0 0
## 264 -1 -1 0 0 -1 -1
## 265 0 1 0 0 0 1
## 266 0 1 0 -1 0 -1
## 267 0 1 0 1 0 0
## 268 -1 -1 1 1 1 1
## 269 0 1 0 0 0 1
## 270 0 1 0 1 0 0
## 271 -1 -1 -1 -1 0 0
## 272 0 1 0 -1 0 -1
## 273 1 0 -1 0 -1 0
## 274 0 1 0 -1 0 -1
## 275 0 1 0 1 0 0
## 276 -1 -1 0 0 -1 -1
## 277 0 1 0 -1 0 -1
## 278 0 1 0 -1 0 -1
## 279 0 1 0 0 0 1
## 280 0 1 0 -1 0 -1
## 281 0 1 0 1 0 0
## 282 -1 -1 0 0 -1 -1
## 283 1 0 -1 0 -1 0
## 284 -1 -1 1 1 1 1
## 285 0 1 0 0 0 1
## 286 -1 -1 0 0 -1 -1
## 287 -1 -1 -1 -1 0 0
## 288 -1 -1 0 0 -1 -1
## 289 -1 -1 0 0 -1 -1
## 290 0 1 0 -1 0 -1
## 291 -1 -1 1 1 1 1
## 292 0 1 0 0 0 1
## 293 -1 -1 -1 -1 0 0
## 294 0 1 0 0 0 1
## 295 0 1 0 -1 0 -1
## 296 1 0 1 0 0 0
## 297 0 1 0 -1 0 -1
## 298 1 0 0 0 1 0
## 299 0 1 0 1 0 0
## 300 -1 -1 1 1 1 1
## 301 0 1 0 0 0 1
## 302 0 1 0 1 0 0
## 303 -1 -1 1 1 1 1
## 304 0 1 0 1 0 0
## 305 1 0 0 0 1 0
## 306 -1 -1 -1 -1 0 0
## 307 -1 -1 0 0 -1 -1
## 308 1 0 0 0 1 0
## 309 0 1 0 0 0 1
## 310 0 1 0 0 0 1
## 311 0 1 0 -1 0 -1
## 312 0 1 0 1 0 0
## 313 0 1 0 1 0 0
## 314 0 1 0 1 0 0
## 315 0 1 0 1 0 0fullModel=lm(mydata$Cholesterol~mydata$regHi+mydata$regMid+mydata$occHi+mydata$occMid+mydata$AlcoholNumMid+mydata$AlcoholNumHi+mydata$vitReg1+mydata$vitOcc1)
reducedModel=lm(mydata$Cholesterol~mydata$regHi+mydata$regMid+mydata$occHi+mydata$occMid)fullModel##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$regHi + mydata$regMid +
## mydata$occHi + mydata$occMid + mydata$AlcoholNumMid + mydata$AlcoholNumHi +
## mydata$vitReg1 + mydata$vitOcc1)
##
## Coefficients:
## (Intercept) mydata$regHi mydata$regMid
## 254.116 33.836 -6.757
## mydata$occHi mydata$occMid mydata$AlcoholNumMid
## -31.129 25.474 -13.424
## mydata$AlcoholNumHi mydata$vitReg1 mydata$vitOcc1
## 26.891 7.290 -13.035summary(fullModel)##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$regHi + mydata$regMid +
## mydata$occHi + mydata$occMid + mydata$AlcoholNumMid + mydata$AlcoholNumHi +
## mydata$vitReg1 + mydata$vitOcc1)
##
## Residuals:
## Min 1Q Median 3Q Max
## -246.35 -89.87 -35.32 63.46 679.84
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 254.116 10.641 23.881 <2e-16 ***
## mydata$regHi 33.836 28.580 1.184 0.237
## mydata$regMid -6.757 17.513 -0.386 0.700
## mydata$occHi -31.129 27.761 -1.121 0.263
## mydata$occMid 25.474 17.790 1.432 0.153
## mydata$AlcoholNumMid -13.424 12.103 -1.109 0.268
## mydata$AlcoholNumHi 26.891 19.055 1.411 0.159
## mydata$vitReg1 7.290 15.608 0.467 0.641
## mydata$vitOcc1 -13.035 15.610 -0.835 0.404
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 132.1 on 306 degrees of freedom
## Multiple R-squared: 0.02344, Adjusted R-squared: -0.002091
## F-statistic: 0.9181 on 8 and 306 DF, p-value: 0.5016anova(fullModel)## Analysis of Variance Table
##
## Response: mydata$Cholesterol
## Df Sum Sq Mean Sq F value Pr(>F)
## mydata$regHi 1 35376 35376 2.0263 0.1556
## mydata$regMid 1 11125 11125 0.6372 0.4253
## mydata$occHi 1 1721 1721 0.0986 0.7538
## mydata$occMid 1 27847 27847 1.5951 0.2076
## mydata$AlcoholNumMid 1 327 327 0.0187 0.8912
## mydata$AlcoholNumHi 1 39613 39613 2.2690 0.1330
## mydata$vitReg1 1 42 42 0.0024 0.9611
## mydata$vitOcc1 1 12174 12174 0.6973 0.4043
## Residuals 306 5342216 17458reducedModel##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$regHi + mydata$regMid +
## mydata$occHi + mydata$occMid)
##
## Coefficients:
## (Intercept) mydata$regHi mydata$regMid mydata$occHi mydata$occMid
## 244.6492 22.2208 -0.3898 -19.6190 17.5866summary(reducedModel)##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$regHi + mydata$regMid +
## mydata$occHi + mydata$occMid)
##
## Residuals:
## Min 1Q Median 3Q Max
## -204.35 -91.41 -36.34 63.04 677.88
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 244.6492 7.5520 32.395 <2e-16 ***
## mydata$regHi 22.2208 19.0795 1.165 0.245
## mydata$regMid -0.3898 13.0868 -0.030 0.976
## mydata$occHi -19.6190 20.6195 -0.951 0.342
## mydata$occMid 17.5866 13.9020 1.265 0.207
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 131.9 on 310 degrees of freedom
## Multiple R-squared: 0.01391, Adjusted R-squared: 0.001182
## F-statistic: 1.093 on 4 and 310 DF, p-value: 0.3601anova(reducedModel)## Analysis of Variance Table
##
## Response: mydata$Cholesterol
## Df Sum Sq Mean Sq F value Pr(>F)
## mydata$regHi 1 35376 35376 2.0329 0.1549
## mydata$regMid 1 11125 11125 0.6393 0.4246
## mydata$occHi 1 1721 1721 0.0989 0.7534
## mydata$occMid 1 27847 27847 1.6003 0.2068
## Residuals 310 5394372 17401plot(fullModel)
anova(fullModel,reducedModel)## Analysis of Variance Table
##
## Model 1: mydata$Cholesterol ~ mydata$regHi + mydata$regMid + mydata$occHi +
## mydata$occMid + mydata$AlcoholNumMid + mydata$AlcoholNumHi +
## mydata$vitReg1 + mydata$vitOcc1
## Model 2: mydata$Cholesterol ~ mydata$regHi + mydata$regMid + mydata$occHi +
## mydata$occMid
## Res.Df RSS Df Sum of Sq F Pr(>F)
## 1 306 5342216
## 2 310 5394372 -4 -52156 0.7469 0.5607library(lessR)##
## lessR 3.9.9 feedback: gerbing@pdx.edu web: lessRstats.com/new
## ---------------------------------------------------------------
## > d <- Read("") Read text, Excel, SPSS, SAS, or R data file
## d is default data frame, data= in analysis routines optional
##
## Many vignettes show by example how to use lessR. Topics are
## read, write, & manipulate data, graphics, means & models,
## factor analysis, & customization. Two ways to view.
## Enter: browseVignettes("lessR")
## Visit: https://CRAN.R-project.org/package=lessRANOVA(Cholesterol~AlcoholNum,data = mydata)
## BACKGROUND
##
## Response Variable: Cholesterol
##
## Factor Variable: AlcoholNum
## Levels: 0 1 2
##
## Number of cases (rows) of data: 315
## Number of cases retained for analysis: 315
##
##
## DESCRIPTIVE STATISTICS
##
## n mean sd min max
## 0 111 238.15 145.61 59.20 900.70
## 1 178 239.65 122.83 46.30 814.70
## 2 26 280.13 130.73 37.70 603.00
##
## Grand Mean: 242.461
##
##
## BASIC ANALYSIS
##
## df Sum Sq Mean Sq F-value p-value
## AlcoholNum 2 40359.12 20179.56 1.16 0.3150
## Residuals 312 5430081.73 17404.11
##
##
## R Squared: 0.01
## R Sq Adjusted: 0.00
## Omega Squared: 0.00
##
## Cohen's f: 0.03
##
##
## TUKEY MULTIPLE COMPARISONS OF MEANS
##
## Family-wise Confidence Level:
## -------------------------------
## diff lwr upr p adj
## 1-0 1.50 -36.08 39.07 1.00
## 2-0 41.98 -25.71 109.67 0.31
## 2-1 40.48 -24.75 105.71 0.31
##
##
## RESIDUALS
##
## Fitted Values, Residuals, Standardized Residuals
## [sorted by Standardized Residuals, ignoring + or - sign]
## [res_rows = 20, out of 315 cases (rows) of data, or res_rows="all"]
## ----------------------------------------------------
## AlcoholNum Cholesterol fitted residual z-resid
## 257 0 900.70 238.15 662.55 5.04
## 152 1 814.70 239.65 575.05 4.37
## 94 0 747.50 238.15 509.35 3.88
## 144 0 718.80 238.15 480.65 3.66
## 112 1 689.40 239.65 449.75 3.42
## 276 0 574.20 238.15 336.05 2.56
## 62 2 603.00 280.13 322.87 2.50
## 100 0 550.50 238.15 312.35 2.38
## 188 1 549.10 239.65 309.45 2.35
## 124 0 516.50 238.15 278.35 2.12
## 184 1 518.00 239.65 278.35 2.12
## 19 0 512.30 238.15 274.15 2.09
## 58 1 511.60 239.65 271.95 2.07
## 103 0 500.30 238.15 262.15 2.00
## 292 1 487.80 239.65 248.15 1.89
## 251 2 37.70 280.13 -242.43 -1.87
## 253 1 469.30 239.65 229.65 1.75
## 266 1 466.30 239.65 226.65 1.72
## 39 0 461.10 238.15 222.95 1.70
## 171 1 456.90 239.65 217.25 1.65
##
##
## ----------------------------------------
## Plot 1: Scatterplot with Cell Means
## Plot 2: 95% family-wise confidence level
## ----------------------------------------boxplot(mydata$VitaminUseNum,mydata$AlcoholNum,mydata$Cholesterol)
ANOVA(Cholesterol~VitaminUseNum,data = mydata)
## BACKGROUND
##
## Response Variable: Cholesterol
##
## Factor Variable: VitaminUseNum
## Levels: 1 2 3
##
## Number of cases (rows) of data: 315
## Number of cases retained for analysis: 315
##
##
## DESCRIPTIVE STATISTICS
##
## n mean sd min max
## 1 122 236.69 151.10 59.20 900.70
## 2 82 245.44 99.63 84.00 574.20
## 3 111 246.60 131.33 37.70 718.80
##
## Grand Mean: 242.461
##
##
## BASIC ANALYSIS
##
## df Sum Sq Mean Sq F-value p-value
## VitaminUseNum 2 6691.52 3345.76 0.19 0.8262
## Residuals 312 5463749.33 17512.02
##
##
## R Squared: 0.00
## R Sq Adjusted: -0.01
## Omega Squared: -0.01
##
##
## TUKEY MULTIPLE COMPARISONS OF MEANS
##
## Family-wise Confidence Level:
## -----------------------------
## diff lwr upr p adj
## 2-1 8.75 -35.75 53.25 0.89
## 3-1 9.91 -30.97 50.79 0.84
## 3-2 1.16 -44.22 46.54 1.00
##
##
## RESIDUALS
##
## Fitted Values, Residuals, Standardized Residuals
## [sorted by Standardized Residuals, ignoring + or - sign]
## [res_rows = 20, out of 315 cases (rows) of data, or res_rows="all"]
## -------------------------------------------------------
## VitaminUseNum Cholesterol fitted residual z-resid
## 257 1 900.70 236.69 664.01 5.04
## 152 1 814.70 236.69 578.01 4.39
## 94 1 747.50 236.69 510.81 3.88
## 144 3 718.80 246.60 472.20 3.58
## 112 1 689.40 236.69 452.71 3.44
## 62 3 603.00 246.60 356.40 2.71
## 276 2 574.20 245.44 328.76 2.50
## 188 1 549.10 236.69 312.41 2.37
## 100 3 550.50 246.60 303.90 2.31
## 58 1 511.60 236.69 274.91 2.09
## 184 3 518.00 246.60 271.40 2.06
## 124 3 516.50 246.60 269.90 2.05
## 19 3 512.30 246.60 265.70 2.02
## 103 3 500.30 246.60 253.70 1.93
## 292 2 487.80 245.44 242.36 1.84
## 95 1 469.20 236.69 232.51 1.76
## 39 1 461.10 236.69 224.41 1.70
## 253 3 469.30 246.60 222.70 1.69
## 266 3 466.30 246.60 219.70 1.67
## 75 1 452.80 236.69 216.11 1.64
##
##
## ----------------------------------------
## Plot 1: Scatterplot with Cell Means
## Plot 2: 95% family-wise confidence level
## ----------------------------------------mydata$Male[mydata$Gender == 'Male'] <- 1
mydata$Male[mydata$Gender == 'Female'] <- 0
mydata$SmokeBin[mydata$Smoke == 'Yes'] <- 1
mydata$SmokeBin[mydata$Smoke == 'No'] <- 0
mydata## ID Age Smoke Quetelet Calories Fat Fiber Alcohol Cholesterol BetaDiet
## 1 1 64 No 21.4838 1298.8 57.0 6.3 0.0 170.3 1945
## 2 2 76 No 23.8763 1032.5 50.1 15.8 0.0 75.8 2653
## 3 3 38 No 20.0108 2372.3 83.6 19.1 14.1 257.9 6321
## 4 4 40 No 25.1406 2449.5 97.5 26.5 0.5 332.6 1061
## 5 5 72 No 20.9850 1952.1 82.6 16.2 0.0 170.8 2863
## 6 6 40 No 27.5214 1366.9 56.0 9.6 1.3 154.6 1729
## 7 7 65 No 22.0115 2213.9 52.0 28.7 0.0 255.1 5371
## 8 8 58 No 28.7570 1595.6 63.4 10.9 0.0 214.1 823
## 9 9 35 No 23.0766 1800.5 57.8 20.3 0.6 233.6 2895
## 10 10 55 No 34.9699 1263.6 39.6 15.5 0.0 171.9 3307
## 11 11 66 No 20.9465 1460.8 58.0 18.2 1.0 137.4 1714
## 12 12 40 No 36.4316 1638.2 49.3 14.9 0.0 130.7 2031
## 13 13 57 No 31.7304 2072.9 106.7 9.6 0.9 420.0 1982
## 14 14 66 No 21.7885 987.5 35.6 10.3 0.0 254.9 2120
## 15 15 66 No 27.3192 1574.3 75.0 7.1 0.0 361.5 1388
## 16 16 64 No 31.4467 2868.5 128.8 15.0 20.0 379.5 3888
## 17 17 62 No 25.9025 1751.1 80.7 8.4 14.1 160.3 2194
## 18 18 75 No 29.1526 1407.6 35.0 20.8 7.0 144.1 3470
## 19 19 68 No 38.1873 1628.5 78.6 11.6 0.0 512.3 2108
## 20 20 57 No 25.8967 1101.4 48.5 8.5 5.0 197.2 1157
## 21 21 56 No 24.4588 2433.6 127.6 19.9 7.1 271.2 1739
## 22 22 30 No 22.7212 1437.3 61.5 8.8 2.3 160.9 1008
## 23 23 34 No 24.0812 2062.7 81.1 13.6 18.0 190.5 606
## 24 24 53 No 23.1598 1276.5 50.1 9.0 4.7 143.5 1380
## 25 25 60 No 49.1203 2114.8 77.6 14.9 0.5 239.9 4916
## 26 26 50 No 23.0766 1113.0 32.8 12.9 3.0 104.8 4451
## 27 27 62 No 33.7244 1323.0 60.8 11.4 0.0 155.8 5983
## 28 28 61 No 25.1827 2837.3 84.2 33.8 0.0 192.1 2413
## 29 29 65 No 28.9498 2055.9 111.8 15.9 0.0 226.5 3087
## 30 30 71 No 24.6800 1285.8 55.4 10.6 2.0 353.4 521
## 31 31 43 No 28.4015 1786.9 93.9 10.6 0.0 247.0 2431
## 32 32 33 No 20.5696 3144.8 155.0 17.6 4.1 308.8 3141
## 33 33 74 Yes 16.3311 1241.0 53.1 10.8 0.1 206.1 1668
## 34 34 41 No 21.0312 2419.3 122.7 16.2 0.3 325.2 4366
## 35 35 56 No 22.6438 2712.7 145.3 13.4 8.0 242.6 494
## 36 36 44 Yes 25.8787 1810.0 95.3 17.5 0.0 253.1 7026
## 37 37 37 No 35.3601 1778.1 75.9 10.8 0.5 332.6 1529
## 38 38 37 No 25.9400 1147.9 47.6 7.3 0.1 117.0 241
## 39 39 39 Yes 21.9991 1951.4 109.1 4.7 0.0 461.1 998
## 40 40 37 No 22.5121 2035.5 65.7 22.1 0.7 205.3 6082
## 41 41 53 No 27.4927 1248.6 56.9 8.2 0.0 223.2 2741
## 42 42 66 No 27.4961 3184.8 199.0 16.8 0.2 362.6 2100
## 43 43 58 No 24.1797 1538.1 78.7 14.2 0.9 231.2 2359
## 44 44 31 Yes 23.3459 1456.5 56.6 8.5 1.0 182.7 603
## 45 45 49 No 21.6784 1656.3 59.5 13.3 0.1 180.3 1625
## 46 46 75 No 21.3291 1396.8 53.3 13.2 3.2 99.3 2888
## 47 47 62 No 33.7442 1588.1 88.9 7.4 0.0 362.6 1099
## 48 48 56 No 32.0748 1566.5 95.2 6.5 7.2 408.0 2103
## 49 49 69 No 31.6684 827.9 32.8 8.7 0.0 79.8 2260
## 50 50 50 Yes 25.1119 2340.4 110.4 11.3 14.0 260.7 452
## 51 51 50 No 20.4034 1902.9 72.9 35.4 7.3 175.6 3549
## 52 52 72 No 39.2229 1111.9 47.2 10.2 0.2 69.4 2204
## 53 53 60 No 19.9326 1333.8 37.1 16.9 6.5 84.0 4964
## 54 54 55 No 21.6362 1896.1 82.2 9.3 10.0 296.8 1052
## 55 55 43 No 29.0047 1472.7 61.8 12.2 0.0 216.3 3572
## 56 56 29 No 18.8340 2237.4 77.6 22.6 0.7 180.6 2902
## 57 57 44 Yes 29.1135 1446.2 63.2 9.5 3.2 208.8 1788
## 58 58 48 No 32.3483 2908.5 139.1 16.4 0.2 511.6 5111
## 59 59 38 No 23.8573 2190.7 96.9 17.7 1.3 192.1 1378
## 60 60 33 No 19.4090 1878.2 81.6 9.6 4.9 265.8 1431
## 61 61 56 No 16.6367 1436.8 57.2 9.4 0.0 183.3 1727
## 62 62 65 Yes 23.3762 6662.2 164.3 11.3 203.0 603.0 2893
## 63 63 48 No 30.2950 2893.3 125.8 18.8 1.7 256.7 2524
## 64 64 66 No 22.5743 1902.4 76.7 17.7 3.1 216.7 2533
## 65 65 78 No 26.3675 1531.6 69.5 5.4 0.0 168.0 982
## 66 66 65 No 23.5424 1220.7 34.6 16.5 5.6 152.8 1535
## 67 67 72 No 22.0119 1247.7 46.8 10.2 0.0 347.9 326
## 68 68 31 Yes 21.0778 1631.5 75.2 8.5 0.7 277.1 1487
## 69 69 74 No 25.7393 818.1 34.3 6.6 3.7 55.4 1114
## 70 70 61 No 25.1827 1570.1 58.7 19.3 2.0 158.3 1080
## 71 71 83 No 25.2068 1331.2 50.6 7.7 0.3 380.7 2492
## 72 72 46 No 30.7096 2052.4 120.4 10.2 0.0 195.2 1349
## 73 73 62 No 23.9217 1823.0 80.3 17.4 6.2 256.8 6948
## 74 74 56 Yes 20.6410 1743.8 85.3 13.2 7.2 349.6 1086
## 75 75 33 No 26.6369 3457.2 166.0 17.5 10.5 452.8 2629
## 76 76 45 No 22.3611 1126.7 20.4 12.5 7.2 71.8 1307
## 77 77 41 No 23.0939 3258.3 101.2 26.2 0.5 341.7 1306
## 78 78 73 No 24.6800 2833.7 119.9 14.6 18.2 365.0 3465
## 79 79 31 No 21.3314 2264.3 105.5 13.4 3.2 396.5 1846
## 80 80 50 No 25.1199 2026.0 85.5 11.2 21.0 268.2 1334
## 81 81 65 No 28.4020 1747.6 83.6 10.9 0.0 244.8 4848
## 82 82 35 Yes 21.8340 1575.5 53.9 7.0 1.0 216.2 1734
## 83 83 42 No 29.0357 1785.4 94.1 10.0 0.7 288.0 1120
## 84 84 19 No 29.2415 2558.9 116.1 12.3 0.0 324.5 1498
## 85 85 37 No 19.9861 839.0 29.2 4.7 6.4 66.5 330
## 86 86 44 No 24.0812 2391.3 95.4 20.6 0.0 283.3 5909
## 87 87 36 No 23.3459 1887.4 110.2 6.0 0.1 211.7 3326
## 88 88 53 Yes 25.1406 2798.2 125.9 17.7 7.0 239.0 2110
## 89 89 69 Yes 27.2289 2654.9 126.0 23.3 0.0 248.0 2719
## 90 90 74 No 27.9862 1202.0 46.6 11.4 0.0 59.2 2309
## 91 91 70 No 22.5331 1235.9 51.1 9.6 3.0 142.0 1153
## 92 92 56 No 26.3173 2225.1 111.5 10.4 6.8 283.7 1432
## 93 93 77 No 27.7905 866.9 31.0 9.8 0.2 59.7 2493
## 94 94 73 No 24.4172 1666.8 76.5 13.3 0.0 747.5 3054
## 95 95 43 No 23.0381 3711.0 202.7 14.9 18.0 469.2 1861
## 96 96 41 No 23.6169 1055.0 33.2 12.9 0.9 220.0 4268
## 97 97 22 No 27.0053 2733.0 123.8 5.1 0.3 440.3 1652
## 98 98 44 No 23.4605 1660.1 80.3 13.6 0.1 89.0 1802
## 99 99 51 No 25.1571 1952.7 63.8 17.9 11.0 201.3 2308
## 100 100 46 Yes 35.2597 2667.5 131.6 10.1 0.0 550.5 1210
## 101 101 25 Yes 20.6410 1517.4 59.1 5.9 0.0 127.6 214
## 102 102 69 No 23.0056 1711.4 98.2 10.8 0.3 332.4 1370
## 103 103 69 No 25.2317 1756.4 82.3 8.8 0.0 500.3 2354
## 104 104 58 No 27.3369 2186.2 99.3 14.9 0.2 263.8 2446
## 105 105 77 No 25.8813 2075.2 75.6 21.4 0.0 228.8 3473
## 106 106 67 No 24.7353 2021.2 94.8 13.3 8.0 417.6 3359
## 107 107 37 No 29.3256 1653.2 77.3 12.5 1.0 162.6 1062
## 108 108 47 No 21.1882 1076.6 33.4 22.5 4.1 138.8 1489
## 109 109 60 Yes 19.6773 1506.7 76.3 14.6 0.0 239.2 3982
## 110 110 49 No 25.0700 1511.7 54.4 16.1 4.2 200.5 1656
## 111 111 83 No 25.5977 1933.6 98.8 11.1 0.0 224.7 768
## 112 112 56 No 22.0119 1830.0 52.8 13.8 8.5 689.4 1496
## 113 113 39 No 30.2913 1256.7 43.7 5.3 0.3 133.6 683
## 114 114 41 No 41.8559 1823.7 54.7 14.6 0.0 188.0 885
## 115 115 37 Yes 28.3357 1902.8 81.7 8.2 0.0 178.6 1662
## 116 116 66 No 26.5081 958.5 37.7 8.3 0.0 108.6 1552
## 117 117 55 No 21.0778 2328.3 112.6 13.9 2.9 281.9 2144
## 118 118 49 No 39.4650 1574.0 74.6 14.1 0.0 440.6 3567
## 119 119 31 No 18.9836 1646.2 52.2 13.2 5.0 174.9 1423
## 120 120 64 No 18.8783 1828.0 63.4 14.7 0.0 87.9 1293
## 121 121 57 No 23.2212 1288.7 63.2 10.6 0.0 200.2 2111
## 122 122 42 Yes 26.8491 1084.3 25.2 21.8 1.0 105.7 2874
## 123 123 40 No 25.8813 2431.9 93.7 17.8 0.1 364.6 1699
## 124 124 73 Yes 19.4090 2453.5 118.5 10.3 0.0 516.5 954
## 125 125 37 No 19.5708 1645.7 76.0 6.6 4.0 225.9 1368
## 126 126 43 No 20.2970 2075.9 96.5 17.3 7.0 271.8 3318
## 127 127 66 No 26.4205 1563.7 73.3 12.0 1.1 300.9 2247
## 128 128 26 No 20.3795 1663.3 64.6 7.6 2.0 124.7 910
## 129 129 45 No 29.2415 1601.4 93.9 8.8 0.0 255.8 1171
## 130 130 74 No 30.2950 1718.9 57.9 15.0 1.2 272.7 2077
## 131 131 49 No 21.4790 1010.6 29.4 9.1 6.2 98.8 1210
## 132 132 41 No 19.4090 1372.7 61.6 9.5 0.0 182.5 1826
## 133 133 74 No 27.3192 1837.0 76.9 13.6 0.0 383.6 2628
## 134 134 38 Yes 21.8451 1662.7 58.7 15.7 3.7 163.7 561
## 135 135 83 No 22.2224 1534.7 54.9 26.3 0.0 77.5 1893
## 136 136 70 No 28.0470 2005.8 89.5 8.5 0.1 121.2 1312
## 137 137 39 No 26.0943 1187.8 32.8 11.6 0.0 154.9 1913
## 138 138 65 No 21.5851 1446.2 56.8 10.8 0.0 127.9 924
## 139 139 72 No 21.0312 976.7 68.4 3.1 0.0 99.6 728
## 140 140 46 No 23.6773 2706.7 104.9 16.8 22.0 416.0 4387
## 141 141 46 No 30.0587 1546.0 73.6 10.3 7.0 284.8 1976
## 142 142 51 No 34.1851 1324.0 46.0 12.7 0.0 151.0 2422
## 143 143 39 No 24.0812 1368.9 61.6 14.4 6.7 314.9 1407
## 144 144 33 Yes 20.1613 3228.0 141.1 14.4 0.0 718.8 1301
## 145 145 49 No 31.7263 2825.8 97.8 7.5 35.0 374.3 1112
## 146 146 44 No 23.3932 1220.9 35.1 14.0 0.0 99.2 1052
## 147 147 69 No 24.2613 1174.7 47.4 9.9 0.1 89.9 1008
## 148 148 52 No 27.8335 828.2 52.3 6.1 1.2 141.1 1054
## 149 149 82 No 20.2177 1708.1 94.2 15.1 2.0 224.7 1484
## 150 150 46 No 23.4786 1182.9 60.2 5.2 0.2 164.5 657
## 151 151 25 No 22.7051 928.4 29.7 6.0 0.5 120.7 604
## 152 152 54 No 37.8687 4373.6 235.9 22.9 0.1 814.7 2912
## 153 153 70 No 25.7393 1387.7 55.2 11.2 0.0 114.0 869
## 154 154 35 No 18.4385 1555.6 72.8 11.5 0.0 174.1 1578
## 155 155 46 No 33.1948 1581.7 64.1 12.3 0.1 170.1 1210
## 156 156 70 No 29.5966 1397.4 60.5 9.2 0.0 228.5 1554
## 157 157 71 No 22.1532 1305.4 43.3 10.2 0.0 72.7 3445
## 158 158 59 No 26.8868 1249.6 24.2 14.7 0.0 97.2 3014
## 159 159 42 No 20.5412 2347.3 104.4 12.5 0.0 249.3 1666
## 160 160 46 No 39.4062 1207.1 42.8 11.6 0.0 155.1 1462
## 161 161 37 No 33.3723 1688.1 45.0 17.1 0.8 141.1 1272
## 162 162 39 No 21.9409 1719.3 49.7 18.4 11.0 164.6 5296
## 163 163 43 No 25.5828 2501.6 121.1 19.5 0.0 343.0 5605
## 164 164 23 No 20.1259 2219.1 120.9 13.1 2.0 415.8 2430
## 165 165 45 No 20.2398 1827.7 71.2 10.4 2.0 267.5 2375
## 166 166 63 No 23.9217 1282.3 26.4 13.6 0.1 100.6 3753
## 167 167 44 Yes 28.3486 1427.2 60.6 8.3 0.2 195.0 695
## 168 168 43 No 20.4034 2000.8 86.7 14.8 0.9 200.9 1649
## 169 169 33 No 27.8695 1622.4 71.5 12.9 1.0 214.8 2317
## 170 170 35 No 34.0818 3114.0 160.2 14.9 0.2 432.3 1702
## 171 171 50 No 23.0716 2012.0 112.9 14.3 6.5 456.9 1007
## 172 172 50 No 29.0157 2106.4 97.0 12.9 0.0 344.3 2308
## 173 173 59 No 25.5977 1546.6 72.9 15.1 0.7 192.8 4694
## 174 174 38 No 23.0766 1149.0 43.6 8.6 10.5 122.5 2749
## 175 175 60 No 29.7475 659.3 22.2 7.0 0.1 102.0 1497
## 176 176 54 No 19.1770 1580.6 82.9 9.4 5.2 98.3 1171
## 177 177 71 No 24.4634 1850.5 75.9 16.1 7.2 247.9 3054
## 178 178 48 No 22.5319 1242.1 37.5 13.3 1.0 148.4 1488
## 179 179 49 No 32.0177 1099.4 56.9 5.2 0.5 169.9 829
## 180 180 27 Yes 29.2415 1127.6 59.4 7.4 0.0 183.4 1037
## 181 181 27 Yes 25.4454 2919.5 125.3 14.3 1.0 370.0 846
## 182 182 75 No 21.5278 1049.1 51.7 8.0 0.0 188.9 1382
## 183 183 45 No 26.4205 1366.6 42.5 12.9 2.5 141.2 3407
## 184 184 35 No 30.4455 1884.8 91.6 11.1 5.0 518.0 758
## 185 185 56 No 33.5921 1494.5 59.1 6.8 0.0 111.5 599
## 186 186 41 Yes 27.5214 1444.6 89.1 6.8 0.0 280.1 1073
## 187 187 48 No 32.9913 445.2 14.4 5.0 0.0 102.8 862
## 188 188 48 No 21.8351 1849.8 80.6 13.8 3.2 549.1 4291
## 189 189 32 No 20.1579 1678.2 54.3 12.9 1.5 147.3 1668
## 190 190 38 No 46.7376 1390.4 55.7 10.8 0.0 195.1 2809
## 191 191 52 No 33.2962 1749.9 81.3 12.1 0.0 226.5 2373
## 192 192 40 No 24.0103 742.3 36.5 5.9 2.1 133.9 1850
## 193 193 44 No 23.0716 1148.5 50.3 7.1 0.1 139.2 1352
## 194 194 70 No 22.4821 1730.6 72.9 14.4 0.2 363.1 2315
## 195 195 55 Yes 29.0357 1162.5 54.0 5.6 0.2 175.2 1417
## 196 196 48 No 20.2177 1738.9 63.5 12.2 0.5 205.9 4504
## 197 197 38 No 20.7176 1432.1 58.5 6.3 0.2 131.9 998
## 198 198 49 No 20.4034 3098.9 106.2 25.2 1.2 447.6 4430
## 199 199 36 No 32.9594 2342.3 95.8 19.2 1.7 389.4 3201
## 200 200 64 No 21.5011 2319.9 97.6 22.3 0.0 155.3 3686
## 201 201 49 No 23.6794 1292.8 43.1 10.6 11.0 180.7 2131
## 202 202 49 Yes 22.7216 784.4 40.6 4.9 3.0 97.4 852
## 203 203 43 No 22.9146 2038.5 80.7 17.1 0.0 232.3 2781
## 204 204 33 No 23.9378 1366.8 55.9 6.2 0.0 196.0 1151
## 205 205 38 No 26.0943 1550.0 66.8 12.1 0.0 253.2 3970
## 206 206 36 No 19.7664 1240.7 50.9 6.9 0.3 116.0 808
## 207 207 33 No 21.6734 2814.6 111.2 16.8 0.0 399.3 843
## 208 208 47 No 20.8130 1612.5 45.5 9.0 15.0 149.9 2537
## 209 209 53 No 40.6892 1576.3 54.8 13.5 0.1 308.9 2205
## 210 210 41 No 29.1423 1197.7 54.5 4.9 0.0 135.6 587
## 211 211 36 No 21.0778 2045.3 84.8 13.2 0.7 271.9 3591
## 212 212 32 No 35.9753 3328.4 163.3 20.0 4.1 425.5 3434
## 213 213 57 No 26.9429 2513.3 98.9 10.6 0.0 428.1 2869
## 214 214 42 No 21.6784 1737.4 62.1 16.3 0.2 211.7 2515
## 215 215 37 Yes 27.2655 1034.4 34.5 8.9 0.0 118.5 807
## 216 216 52 No 32.6718 2083.9 93.1 8.8 0.0 328.1 766
## 217 217 45 Yes 28.7254 1481.8 75.3 10.4 0.2 336.9 720
## 218 218 42 No 20.7690 1051.2 44.0 10.9 0.2 165.5 516
## 219 219 42 No 21.2065 1730.1 58.3 16.6 4.5 196.1 3785
## 220 220 41 Yes 20.7176 1102.8 56.6 5.3 0.0 329.8 1436
## 221 221 41 No 26.3117 1496.7 64.6 5.9 1.0 239.8 613
## 222 222 26 Yes 20.5412 1987.2 76.6 9.8 0.0 156.1 1460
## 223 223 70 No 20.1613 2017.2 136.0 7.6 0.0 195.8 2251
## 224 224 44 No 26.3675 1525.6 85.4 7.9 0.1 179.4 2029
## 225 225 46 No 28.4020 1342.2 69.7 5.9 1.0 215.4 8046
## 226 226 22 No 50.4033 1511.7 64.4 10.2 0.0 190.3 1074
## 227 227 46 Yes 21.6784 1570.1 74.1 13.7 0.9 145.7 3556
## 228 228 32 No 20.0560 2703.4 120.6 11.4 0.1 284.3 1218
## 229 229 27 No 23.8763 1200.6 61.5 8.7 1.5 208.7 2199
## 230 230 52 No 37.1113 1891.6 73.8 17.6 0.0 226.0 5810
## 231 231 42 No 36.5973 1434.9 59.3 11.2 0.0 281.1 1214
## 232 232 34 No 28.5795 2118.1 93.0 20.1 0.0 170.0 2215
## 233 233 36 No 40.2953 1414.6 51.2 13.7 0.0 135.8 1678
## 234 234 59 No 24.8040 2192.3 78.7 14.2 0.0 173.5 2579
## 235 235 75 No 36.4737 1380.6 54.5 13.5 0.1 201.6 925
## 236 236 43 No 45.8581 1626.3 72.2 7.9 0.0 157.5 404
## 237 237 56 No 30.4824 2210.7 113.1 10.5 6.1 340.1 2008
## 238 238 48 No 19.7039 1600.7 77.7 11.2 7.2 180.1 2469
## 239 239 34 Yes 21.9638 1076.2 52.7 6.1 0.0 78.3 755
## 240 240 37 No 23.3459 2094.5 78.9 17.3 1.0 193.4 1718
## 241 241 41 No 31.8216 1823.0 74.8 12.1 1.3 196.9 2133
## 242 242 74 No 23.3459 1512.1 73.8 8.7 5.7 182.8 1167
## 243 243 73 No 21.0113 840.6 34.3 8.2 0.1 81.1 619
## 244 244 53 Yes 19.7810 1996.1 98.8 9.2 0.0 436.8 908
## 245 245 74 No 21.1364 2171.6 76.6 20.4 0.0 176.3 3690
## 246 246 77 No 24.3272 1481.4 55.0 11.2 0.0 191.7 3425
## 247 247 39 No 21.1781 1829.2 79.0 15.6 0.0 178.4 2787
## 248 248 29 No 18.6003 1041.6 45.4 6.0 3.0 139.5 675
## 249 249 37 No 44.9106 2010.4 101.2 16.0 0.1 362.4 2142
## 250 250 47 No 23.9642 2120.8 77.4 17.0 8.4 185.9 2299
## 251 251 64 No 21.2065 1008.4 35.4 5.6 14.0 37.7 544
## 252 252 36 No 42.8886 798.2 30.6 7.9 2.4 46.3 604
## 253 253 42 No 20.4172 3099.2 134.9 19.0 0.8 469.3 6558
## 254 254 64 No 25.6599 2055.7 114.4 13.0 0.0 248.4 2661
## 255 255 38 No 20.7029 2585.3 129.8 21.1 4.0 429.5 7362
## 256 256 39 No 28.4015 1906.5 86.4 10.4 15.5 265.9 2583
## 257 257 40 No 31.2422 3014.9 165.7 14.4 0.0 900.7 1028
## 258 258 29 No 37.9400 1631.0 55.6 13.8 0.5 189.5 3435
## 259 259 71 No 24.9883 1399.5 66.5 9.6 8.0 260.0 1527
## 260 260 45 No 23.4316 2319.0 122.1 13.4 0.1 305.7 2047
## 261 261 63 No 18.9209 1655.9 70.8 15.1 0.1 177.3 2897
## 262 262 46 No 24.2613 1422.8 58.3 7.8 7.1 206.3 1987
## 263 263 75 No 21.6784 2511.5 92.3 36.8 0.6 228.3 4271
## 264 264 46 No 35.1907 740.6 38.5 5.3 0.0 113.9 868
## 265 265 44 No 22.5440 1292.6 49.4 10.4 1.2 186.5 578
## 266 266 24 No 31.9972 3021.9 171.0 11.4 0.1 466.3 953
## 267 267 32 No 22.5121 1918.4 63.1 16.1 5.0 202.2 1048
## 268 268 66 No 22.6438 2086.6 72.3 16.0 0.0 112.8 1439
## 269 269 43 No 26.3475 3449.7 172.8 20.5 1.4 381.3 3324
## 270 270 73 No 24.9412 1186.4 46.1 10.5 1.5 119.7 921
## 271 271 54 No 25.7501 1724.7 75.1 18.2 0.0 173.3 1192
## 272 272 44 Yes 29.9774 1877.4 92.2 7.7 0.2 211.6 1665
## 273 273 55 No 22.8771 2272.6 94.5 10.9 14.2 269.2 3610
## 274 274 70 Yes 23.8270 1514.4 51.7 14.2 7.0 97.5 3317
## 275 275 32 No 25.4573 2170.3 95.1 15.2 0.2 175.2 3313
## 276 276 33 No 23.2690 2271.1 114.6 10.4 0.0 574.2 1270
## 277 277 49 No 22.5064 1469.9 50.4 12.1 0.7 118.8 1915
## 278 278 69 No 44.2062 2332.2 109.6 19.7 0.1 286.7 4013
## 279 279 38 No 20.7173 1619.3 83.7 8.4 0.5 310.1 902
## 280 280 34 Yes 34.0818 1148.7 41.7 9.8 1.0 173.4 2247
## 281 281 49 No 20.0895 2512.0 64.9 30.2 0.6 168.5 4832
## 282 282 40 Yes 18.3432 833.0 38.8 5.5 0.0 145.3 577
## 283 283 41 No 28.0470 1808.4 61.5 10.5 17.0 176.1 1884
## 284 284 62 No 29.8494 2115.4 84.1 23.9 0.0 189.5 3172
## 285 285 28 No 20.1250 1600.9 68.0 14.2 0.2 171.2 3102
## 286 286 78 No 41.6857 647.7 30.9 3.7 0.0 87.5 1186
## 287 287 67 No 30.7309 849.2 25.4 10.9 0.0 91.7 1237
## 288 288 51 No 24.9082 2166.9 105.8 15.6 0.0 349.1 4098
## 289 289 29 Yes 26.6874 2476.2 121.1 14.3 0.0 263.5 2889
## 290 290 36 Yes 25.7393 1959.3 112.4 6.7 0.5 326.7 1097
## 291 291 43 No 18.5769 1695.3 62.4 17.7 0.0 147.3 570
## 292 292 55 No 25.4258 2307.8 111.0 18.4 3.4 487.8 2627
## 293 293 54 No 24.9550 1392.2 47.8 12.9 0.0 87.5 849
## 294 294 32 No 39.5620 3511.1 114.7 13.9 0.2 444.7 2174
## 295 295 65 No 26.7596 1276.0 60.5 12.0 3.5 87.3 1456
## 296 296 41 Yes 41.6495 2685.1 133.1 11.1 15.0 432.4 3728
## 297 297 60 No 40.6953 1327.0 64.8 9.3 0.1 341.0 1987
## 298 298 73 No 25.8473 853.1 29.8 6.3 10.0 160.5 1022
## 299 299 71 No 21.8109 1215.8 43.8 12.3 5.0 110.8 2079
## 300 300 47 No 37.2776 1927.6 92.5 10.7 0.0 359.1 406
## 301 301 35 No 29.5855 2466.9 112.6 9.6 0.1 331.9 621
## 302 302 34 Yes 21.3291 3103.7 124.7 18.1 8.3 431.0 2652
## 303 303 41 No 34.6149 2046.9 103.0 13.1 0.0 334.2 1745
## 304 304 33 No 18.5769 1835.9 74.1 23.0 0.7 184.2 2121
## 305 305 73 Yes 20.7112 1678.5 82.3 6.3 14.1 249.5 1078
## 306 306 67 No 26.9429 1049.2 44.6 9.6 0.0 247.2 2672
## 307 307 66 No 33.1076 1762.1 72.9 16.5 0.0 240.3 4935
## 308 308 44 Yes 23.2772 3183.1 119.4 6.9 35.0 378.8 1118
## 309 309 36 No 24.7434 2838.8 88.5 24.0 4.5 252.4 9642
## 310 310 48 No 24.6147 2021.1 72.2 16.6 9.0 299.1 1392
## 311 311 46 No 25.8967 2263.6 98.2 19.4 2.6 306.5 2572
## 312 312 45 No 23.8270 1841.1 84.2 14.1 2.2 257.7 1665
## 313 313 49 No 24.2613 1125.6 44.8 11.9 4.0 150.5 6943
## 314 314 31 No 23.4525 2729.6 144.4 13.2 2.2 381.8 741
## 315 315 45 No 26.5081 1627.0 77.4 9.9 0.2 195.6 1242
## RetinolDiet BetaPlasma RetinolPlasma Gender VitaminUse PriorSmoke
## 1 890 200 915 Female Regular 2
## 2 451 124 727 Female Regular 1
## 3 660 328 721 Female Occasional 2
## 4 864 153 615 Female No 2
## 5 1209 92 799 Female Regular 1
## 6 1439 148 654 Female No 2
## 7 802 258 834 Female Occasional 1
## 8 2571 64 825 Female Regular 1
## 9 944 218 517 Female No 1
## 10 493 81 562 Female No 2
## 11 535 184 935 Female Regular 2
## 12 492 91 741 Female Occasional 1
## 13 1105 120 679 Male No 1
## 14 1047 61 507 Female Regular 1
## 15 980 108 852 Male No 1
## 16 1545 211 1249 Male No 2
## 17 242 235 1035 Male Regular 2
## 18 479 288 1262 Male Regular 2
## 19 921 102 904 Female No 1
## 20 445 113 1727 Male No 2
## 21 926 74 684 Male No 2
## 22 695 129 537 Female No 2
## 23 944 140 760 Female No 1
## 24 708 138 809 Female Occasional 2
## 25 1150 143 697 Female Regular 1
## 26 554 416 676 Female Regular 1
## 27 320 212 822 Female Occasional 2
## 28 656 786 691 Female Regular 1
## 29 1199 35 599 Male No 1
## 30 975 122 901 Male No 2
## 31 914 119 818 Female No 2
## 32 1579 182 623 Female Occasional 2
## 33 1618 186 624 Female No 3
## 34 1759 216 526 Female No 1
## 35 608 751 1002 Male Occasional 2
## 36 508 39 179 Female Regular 3
## 37 517 107 564 Female Occasional 2
## 38 314 74 456 Female No 2
## 39 588 418 665 Male Regular 3
## 40 674 1415 632 Female Regular 1
## 41 419 400 502 Female No 1
## 42 1083 102 838 Female No 2
## 43 834 135 574 Female Occasional 2
## 44 473 97 611 Female Occasional 3
## 45 707 124 476 Female Occasional 1
## 46 323 195 546 Female Regular 1
## 47 651 107 411 Female Regular 1
## 48 855 53 475 Female No 1
## 49 264 148 321 Male Regular 2
## 50 550 77 388 Female No 3
## 51 969 316 586 Female No 1
## 52 239 77 648 Female Regular 1
## 53 374 266 550 Female Occasional 1
## 54 605 39 783 Male No 2
## 55 809 225 258 Female Regular 1
## 56 1065 173 299 Female Regular 1
## 57 677 79 384 Female Occasional 3
## 58 1359 102 692 Female Regular 2
## 59 685 158 634 Female Occasional 1
## 60 724 159 592 Female Occasional 1
## 61 898 157 383 Female Regular 1
## 62 1364 96 317 Male No 3
## 63 1250 160 247 Female Regular 1
## 64 592 100 730 Male Regular 2
## 65 854 293 587 Female Regular 2
## 66 493 171 407 Male No 1
## 67 407 89 831 Female No 2
## 68 1120 109 531 Female Occasional 3
## 69 453 129 560 Female No 2
## 70 724 87 397 Female No 1
## 71 1310 328 768 Female Occasional 1
## 72 860 298 393 Female Occasional 2
## 73 417 379 810 Female Regular 2
## 74 464 204 624 Female No 3
## 75 1470 75 227 Male Regular 1
## 76 178 127 525 Female No 2
## 77 1163 131 542 Female Regular 2
## 78 743 21 558 Male No 2
## 79 760 233 504 Female Occasional 2
## 80 486 73 1031 Male Regular 1
## 81 1005 25 187 Female No 1
## 82 1215 137 677 Female Regular 3
## 83 619 82 783 Male Regular 2
## 84 1066 327 693 Female Regular 1
## 85 394 142 511 Female Regular 1
## 86 1702 86 435 Female Regular 2
## 87 928 150 362 Female No 2
## 88 1458 53 592 Male No 3
## 89 1323 112 360 Male No 3
## 90 578 104 476 Female Regular 1
## 91 1048 170 369 Female Regular 1
## 92 1006 150 619 Female No 2
## 93 640 282 472 Female Regular 1
## 94 4041 91 426 Male Regular 2
## 95 783 125 592 Female Regular 2
## 96 341 282 426 Male Occasional 1
## 97 1525 16 799 Female Regular 2
## 98 233 129 497 Female Regular 2
## 99 1838 180 622 Female No 2
## 100 1291 39 549 Male No 3
## 101 914 54 539 Female Regular 3
## 102 695 78 522 Male Occasional 2
## 103 842 34 551 Male No 2
## 104 881 95 466 Female Occasional 1
## 105 1326 174 423 Male Occasional 1
## 106 1060 95 797 Male No 2
## 107 1070 97 532 Female Occasional 2
## 108 490 204 422 Female Occasional 2
## 109 350 25 421 Female No 3
## 110 652 270 527 Female Occasional 2
## 111 719 285 512 Male Regular 2
## 112 546 110 756 Female Regular 1
## 113 627 162 456 Female No 1
## 114 687 179 456 Female Occasional 1
## 115 779 131 449 Female No 3
## 116 326 86 406 Female No 1
## 117 815 225 519 Female Occasional 1
## 118 963 249 464 Female Regular 2
## 119 1845 254 523 Female Regular 2
## 120 1101 189 588 Female Regular 1
## 121 950 108 564 Female Regular 1
## 122 159 121 927 Female Regular 3
## 123 2263 238 953 Male Regular 2
## 124 1328 127 516 Male No 3
## 125 427 141 669 Female Occasional 1
## 126 651 427 572 Female No 1
## 127 728 305 727 Female Occasional 1
## 128 605 74 544 Female No 1
## 129 453 156 917 Female Regular 2
## 130 1374 168 586 Female Occasional 1
## 131 555 116 516 Female No 1
## 132 386 290 404 Female Regular 2
## 133 966 304 709 Male No 1
## 134 947 198 429 Female No 3
## 135 426 253 629 Male Regular 1
## 136 688 148 1139 Female Regular 1
## 137 1048 492 466 Female Occasional 2
## 138 684 156 372 Female Regular 1
## 139 797 27 558 Female Regular 2
## 140 926 52 476 Male No 2
## 141 417 210 418 Female No 1
## 142 208 83 564 Female No 1
## 143 1335 182 431 Female Regular 1
## 144 307 40 485 Female No 3
## 145 735 69 733 Male No 2
## 146 441 172 402 Female No 1
## 147 783 253 760 Female No 1
## 148 366 435 659 Female No 2
## 149 790 429 599 Female Regular 1
## 150 441 326 495 Female No 1
## 151 432 75 436 Female Occasional 1
## 152 2104 121 416 Female Regular 1
## 153 1595 292 701 Female Occasional 1
## 154 689 207 553 Female Occasional 1
## 155 795 118 652 Female Occasional 1
## 156 675 108 621 Male No 1
## 157 1015 385 617 Female Regular 2
## 158 1340 408 784 Female Regular 1
## 159 859 97 352 Female Regular 1
## 160 868 118 677 Female No 1
## 161 145 60 520 Female Regular 2
## 162 554 357 474 Female Occasional 2
## 163 858 858 643 Female Regular 2
## 164 746 104 400 Female Regular 1
## 165 1284 219 627 Female Regular 2
## 166 649 296 701 Female Regular 1
## 167 270 164 566 Female Occasional 3
## 168 751 487 453 Female Regular 1
## 169 437 70 428 Female No 2
## 170 1224 43 434 Female No 2
## 171 6901 274 592 Female No 1
## 172 982 231 413 Female Occasional 2
## 173 864 346 849 Female Regular 2
## 174 329 181 727 Female No 2
## 175 244 116 700 Female No 2
## 176 465 391 499 Female Regular 2
## 177 629 85 853 Male No 2
## 178 706 800 532 Female Regular 2
## 179 887 286 561 Female Regular 1
## 180 239 87 378 Female No 3
## 181 2118 74 419 Female Occasional 3
## 182 222 460 694 Female Regular 1
## 183 532 154 437 Female Occasional 1
## 184 454 206 657 Female No 1
## 185 845 19 396 Female Regular 2
## 186 486 168 569 Female Occasional 3
## 187 160 108 493 Female Regular 1
## 188 661 274 344 Female Regular 1
## 189 666 120 620 Female Occasional 2
## 190 482 53 277 Female Occasional 1
## 191 1816 105 464 Female Occasional 1
## 192 309 159 542 Female No 1
## 193 455 83 824 Female No 1
## 194 1196 425 602 Female Regular 1
## 195 451 99 670 Female No 3
## 196 294 159 569 Female Regular 1
## 197 699 111 443 Female No 2
## 198 632 316 399 Female Regular 1
## 199 1574 105 489 Female Occasional 2
## 200 523 317 491 Female Regular 1
## 201 227 372 1443 Female Occasional 2
## 202 311 116 602 Female Regular 3
## 203 757 229 748 Female Occasional 1
## 204 498 51 602 Female Occasional 1
## 205 390 286 502 Female Regular 1
## 206 349 110 527 Female Occasional 1
## 207 1616 143 470 Female Occasional 2
## 208 295 1212 566 Female Regular 2
## 209 824 174 491 Female Regular 1
## 210 215 86 663 Female Regular 1
## 211 1178 132 526 Female Regular 1
## 212 2167 58 556 Female Occasional 2
## 213 741 77 394 Female Regular 2
## 214 1340 237 737 Female Regular 1
## 215 141 41 573 Female Regular 3
## 216 604 103 713 Female Regular 1
## 217 701 193 777 Female Occasional 3
## 218 730 153 437 Female No 1
## 219 642 1391 609 Female Regular 1
## 220 522 89 481 Female No 3
## 221 509 84 471 Female Regular 1
## 222 322 36 296 Female Regular 3
## 223 1404 494 499 Female No 1
## 224 898 78 559 Female Regular 1
## 225 453 102 701 Female No 1
## 226 399 50 332 Female No 1
## 227 577 211 388 Female No 3
## 228 978 159 879 Female Regular 1
## 229 481 89 323 Female No 2
## 230 840 108 625 Female No 1
## 231 1119 188 614 Female Regular 1
## 232 1450 75 525 Female No 1
## 233 1307 14 432 Female Occasional 1
## 234 1026 165 734 Female Regular 2
## 235 707 143 364 Female Occasional 1
## 236 1050 241 387 Female Regular 1
## 237 638 97 709 Male No 2
## 238 538 76 561 Female No 2
## 239 417 169 418 Female No 3
## 240 1052 222 413 Female Occasional 1
## 241 728 82 506 Female Occasional 2
## 242 1169 324 628 Female Regular 1
## 243 79 146 578 Female No 1
## 244 1478 126 486 Female Occasional 3
## 245 1113 293 875 Male No 1
## 246 859 183 817 Female Regular 2
## 247 1210 170 647 Female Regular 1
## 248 403 129 820 Female Occasional 1
## 249 601 129 557 Female Occasional 1
## 250 1529 92 520 Female No 1
## 251 30 44 521 Female No 1
## 252 378 51 498 Female No 2
## 253 816 103 436 Female No 2
## 254 854 101 291 Female Occasional 2
## 255 964 372 293 Female Regular 2
## 256 632 78 600 Female Occasional 1
## 257 3061 0 254 Female Regular 1
## 258 1104 84 644 Female Regular 1
## 259 822 161 636 Female No 2
## 260 1125 331 684 Female Regular 1
## 261 505 366 535 Female No 1
## 262 608 990 584 Female Occasional 2
## 263 916 1010 473 Female Regular 1
## 264 106 236 647 Female Occasional 1
## 265 319 175 880 Female Occasional 2
## 266 1176 67 376 Female No 1
## 267 991 129 864 Female Regular 1
## 268 476 317 589 Female No 1
## 269 1558 168 510 Female Occasional 1
## 270 668 613 770 Female Regular 2
## 271 657 274 543 Female Regular 1
## 272 937 94 791 Female No 3
## 273 1825 122 537 Female No 2
## 274 766 232 516 Female No 3
## 275 1250 167 466 Female Regular 2
## 276 544 32 194 Male Occasional 1
## 277 594 128 759 Female No 2
## 278 1485 151 823 Female No 2
## 279 302 206 426 Female Occasional 1
## 280 682 75 403 Female No 3
## 281 793 447 516 Female Regular 1
## 282 444 339 560 Female Occasional 3
## 283 641 89 746 Female No 2
## 284 658 39 368 Female No 2
## 285 453 88 792 Female Occasional 1
## 286 466 114 719 Female Occasional 1
## 287 285 66 995 Female Regular 1
## 288 909 407 725 Female Occasional 1
## 289 1529 105 366 Female Occasional 3
## 290 966 140 1102 Female No 3
## 291 747 150 800 Female No 2
## 292 1627 95 854 Female Occasional 2
## 293 962 74 1517 Female Regular 1
## 294 1814 202 649 Female Occasional 1
## 295 443 133 710 Female No 1
## 296 587 63 1193 Male Regular 3
## 297 670 22 581 Female No 2
## 298 125 151 721 Female Occasional 2
## 299 597 473 946 Female Regular 1
## 300 806 58 794 Female No 1
## 301 579 87 494 Female Occasional 2
## 302 1098 113 796 Female Regular 3
## 303 445 117 738 Female No 1
## 304 426 155 444 Female Regular 2
## 305 416 41 669 Female Occasional 3
## 306 294 73 836 Female Regular 2
## 307 422 113 986 Female Occasional 1
## 308 1257 100 926 Female Occasional 3
## 309 634 265 986 Female Occasional 2
## 310 1027 144 752 Female Occasional 2
## 311 1261 164 216 Female No 2
## 312 465 80 328 Female Regular 1
## 313 520 300 502 Female Regular 1
## 314 644 121 684 Female Regular 2
## 315 554 233 826 Female Regular 1
## VitaminUseNum VitaminUseNum2 vitReg vitOcc vitNo vitReg1 vitOcc1 AlcoholNum
## 1 1 3 1 0 0 1 0 0
## 2 1 3 1 0 0 1 0 0
## 3 2 2 0 1 0 0 1 2
## 4 3 1 0 0 1 -1 -1 1
## 5 1 3 1 0 0 1 0 0
## 6 3 1 0 0 1 -1 -1 1
## 7 2 2 0 1 0 0 1 0
## 8 1 3 1 0 0 1 0 0
## 9 3 1 0 0 1 -1 -1 1
## 10 3 1 0 0 1 -1 -1 0
## 11 1 3 1 0 0 1 0 1
## 12 2 2 0 1 0 0 1 0
## 13 3 1 0 0 1 -1 -1 1
## 14 1 3 1 0 0 1 0 0
## 15 3 1 0 0 1 -1 -1 0
## 16 3 1 0 0 1 -1 -1 2
## 17 1 3 1 0 0 1 0 2
## 18 1 3 1 0 0 1 0 1
## 19 3 1 0 0 1 -1 -1 0
## 20 3 1 0 0 1 -1 -1 1
## 21 3 1 0 0 1 -1 -1 1
## 22 3 1 0 0 1 -1 -1 1
## 23 3 1 0 0 1 -1 -1 2
## 24 2 2 0 1 0 0 1 1
## 25 1 3 1 0 0 1 0 1
## 26 1 3 1 0 0 1 0 1
## 27 2 2 0 1 0 0 1 0
## 28 1 3 1 0 0 1 0 0
## 29 3 1 0 0 1 -1 -1 0
## 30 3 1 0 0 1 -1 -1 1
## 31 3 1 0 0 1 -1 -1 0
## 32 2 2 0 1 0 0 1 1
## 33 3 1 0 0 1 -1 -1 1
## 34 3 1 0 0 1 -1 -1 1
## 35 2 2 0 1 0 0 1 1
## 36 1 3 1 0 0 1 0 0
## 37 2 2 0 1 0 0 1 1
## 38 3 1 0 0 1 -1 -1 1
## 39 1 3 1 0 0 1 0 0
## 40 1 3 1 0 0 1 0 1
## 41 3 1 0 0 1 -1 -1 0
## 42 3 1 0 0 1 -1 -1 1
## 43 2 2 0 1 0 0 1 1
## 44 2 2 0 1 0 0 1 1
## 45 2 2 0 1 0 0 1 1
## 46 1 3 1 0 0 1 0 1
## 47 1 3 1 0 0 1 0 0
## 48 3 1 0 0 1 -1 -1 1
## 49 1 3 1 0 0 1 0 0
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## 51 3 1 0 0 1 -1 -1 1
## 52 1 3 1 0 0 1 0 1
## 53 2 2 0 1 0 0 1 1
## 54 3 1 0 0 1 -1 -1 2
## 55 1 3 1 0 0 1 0 0
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## 57 2 2 0 1 0 0 1 1
## 58 1 3 1 0 0 1 0 1
## 59 2 2 0 1 0 0 1 1
## 60 2 2 0 1 0 0 1 1
## 61 1 3 1 0 0 1 0 0
## 62 3 1 0 0 1 -1 -1 2
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## 64 1 3 1 0 0 1 0 1
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## 72 2 2 0 1 0 0 1 0
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## 74 3 1 0 0 1 -1 -1 1
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## 77 1 3 1 0 0 1 0 1
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## 79 2 2 0 1 0 0 1 1
## 80 1 3 1 0 0 1 0 2
## 81 3 1 0 0 1 -1 -1 0
## 82 1 3 1 0 0 1 0 1
## 83 1 3 1 0 0 1 0 1
## 84 1 3 1 0 0 1 0 0
## 85 1 3 1 0 0 1 0 1
## 86 1 3 1 0 0 1 0 0
## 87 3 1 0 0 1 -1 -1 1
## 88 3 1 0 0 1 -1 -1 1
## 89 3 1 0 0 1 -1 -1 0
## 90 1 3 1 0 0 1 0 0
## 91 1 3 1 0 0 1 0 1
## 92 3 1 0 0 1 -1 -1 1
## 93 1 3 1 0 0 1 0 1
## 94 1 3 1 0 0 1 0 0
## 95 1 3 1 0 0 1 0 2
## 96 2 2 0 1 0 0 1 1
## 97 1 3 1 0 0 1 0 1
## 98 1 3 1 0 0 1 0 1
## 99 3 1 0 0 1 -1 -1 2
## 100 3 1 0 0 1 -1 -1 0
## 101 1 3 1 0 0 1 0 0
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## 108 2 2 0 1 0 0 1 1
## 109 3 1 0 0 1 -1 -1 0
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## 112 1 3 1 0 0 1 0 1
## 113 3 1 0 0 1 -1 -1 1
## 114 2 2 0 1 0 0 1 0
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## 118 1 3 1 0 0 1 0 0
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## 121 1 3 1 0 0 1 0 0
## 122 1 3 1 0 0 1 0 1
## 123 1 3 1 0 0 1 0 1
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## 141 3 1 0 0 1 -1 -1 1
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## 143 1 3 1 0 0 1 0 1
## 144 3 1 0 0 1 -1 -1 0
## 145 3 1 0 0 1 -1 -1 2
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## 147 3 1 0 0 1 -1 -1 1
## 148 3 1 0 0 1 -1 -1 1
## 149 1 3 1 0 0 1 0 1
## 150 3 1 0 0 1 -1 -1 1
## 151 2 2 0 1 0 0 1 1
## 152 1 3 1 0 0 1 0 1
## 153 2 2 0 1 0 0 1 0
## 154 2 2 0 1 0 0 1 0
## 155 2 2 0 1 0 0 1 1
## 156 3 1 0 0 1 -1 -1 0
## 157 1 3 1 0 0 1 0 0
## 158 1 3 1 0 0 1 0 0
## 159 1 3 1 0 0 1 0 0
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## 163 1 3 1 0 0 1 0 0
## 164 1 3 1 0 0 1 0 1
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## 166 1 3 1 0 0 1 0 1
## 167 2 2 0 1 0 0 1 1
## 168 1 3 1 0 0 1 0 1
## 169 3 1 0 0 1 -1 -1 1
## 170 3 1 0 0 1 -1 -1 1
## 171 3 1 0 0 1 -1 -1 1
## 172 2 2 0 1 0 0 1 0
## 173 1 3 1 0 0 1 0 1
## 174 3 1 0 0 1 -1 -1 2
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## 176 1 3 1 0 0 1 0 1
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## 181 2 2 0 1 0 0 1 1
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## 183 2 2 0 1 0 0 1 1
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## 189 2 2 0 1 0 0 1 1
## 190 2 2 0 1 0 0 1 0
## 191 2 2 0 1 0 0 1 0
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## 193 3 1 0 0 1 -1 -1 1
## 194 1 3 1 0 0 1 0 1
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## 196 1 3 1 0 0 1 0 1
## 197 3 1 0 0 1 -1 -1 1
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## 201 2 2 0 1 0 0 1 2
## 202 1 3 1 0 0 1 0 1
## 203 2 2 0 1 0 0 1 0
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## 205 1 3 1 0 0 1 0 0
## 206 2 2 0 1 0 0 1 1
## 207 2 2 0 1 0 0 1 0
## 208 1 3 1 0 0 1 0 2
## 209 1 3 1 0 0 1 0 1
## 210 1 3 1 0 0 1 0 0
## 211 1 3 1 0 0 1 0 1
## 212 2 2 0 1 0 0 1 1
## 213 1 3 1 0 0 1 0 0
## 214 1 3 1 0 0 1 0 1
## 215 1 3 1 0 0 1 0 0
## 216 1 3 1 0 0 1 0 0
## 217 2 2 0 1 0 0 1 1
## 218 3 1 0 0 1 -1 -1 1
## 219 1 3 1 0 0 1 0 1
## 220 3 1 0 0 1 -1 -1 0
## 221 1 3 1 0 0 1 0 1
## 222 1 3 1 0 0 1 0 0
## 223 3 1 0 0 1 -1 -1 0
## 224 1 3 1 0 0 1 0 1
## 225 3 1 0 0 1 -1 -1 1
## 226 3 1 0 0 1 -1 -1 0
## 227 3 1 0 0 1 -1 -1 1
## 228 1 3 1 0 0 1 0 1
## 229 3 1 0 0 1 -1 -1 1
## 230 3 1 0 0 1 -1 -1 0
## 231 1 3 1 0 0 1 0 0
## 232 3 1 0 0 1 -1 -1 0
## 233 2 2 0 1 0 0 1 0
## 234 1 3 1 0 0 1 0 0
## 235 2 2 0 1 0 0 1 1
## 236 1 3 1 0 0 1 0 0
## 237 3 1 0 0 1 -1 -1 1
## 238 3 1 0 0 1 -1 -1 1
## 239 3 1 0 0 1 -1 -1 0
## 240 2 2 0 1 0 0 1 1
## 241 2 2 0 1 0 0 1 1
## 242 1 3 1 0 0 1 0 1
## 243 3 1 0 0 1 -1 -1 1
## 244 2 2 0 1 0 0 1 0
## 245 3 1 0 0 1 -1 -1 0
## 246 1 3 1 0 0 1 0 0
## 247 1 3 1 0 0 1 0 0
## 248 2 2 0 1 0 0 1 1
## 249 2 2 0 1 0 0 1 1
## 250 3 1 0 0 1 -1 -1 1
## 251 3 1 0 0 1 -1 -1 2
## 252 3 1 0 0 1 -1 -1 1
## 253 3 1 0 0 1 -1 -1 1
## 254 2 2 0 1 0 0 1 0
## 255 1 3 1 0 0 1 0 1
## 256 2 2 0 1 0 0 1 2
## 257 1 3 1 0 0 1 0 0
## 258 1 3 1 0 0 1 0 1
## 259 3 1 0 0 1 -1 -1 1
## 260 1 3 1 0 0 1 0 1
## 261 3 1 0 0 1 -1 -1 1
## 262 2 2 0 1 0 0 1 1
## 263 1 3 1 0 0 1 0 1
## 264 2 2 0 1 0 0 1 0
## 265 2 2 0 1 0 0 1 1
## 266 3 1 0 0 1 -1 -1 1
## 267 1 3 1 0 0 1 0 1
## 268 3 1 0 0 1 -1 -1 0
## 269 2 2 0 1 0 0 1 1
## 270 1 3 1 0 0 1 0 1
## 271 1 3 1 0 0 1 0 0
## 272 3 1 0 0 1 -1 -1 1
## 273 3 1 0 0 1 -1 -1 2
## 274 3 1 0 0 1 -1 -1 1
## 275 1 3 1 0 0 1 0 1
## 276 2 2 0 1 0 0 1 0
## 277 3 1 0 0 1 -1 -1 1
## 278 3 1 0 0 1 -1 -1 1
## 279 2 2 0 1 0 0 1 1
## 280 3 1 0 0 1 -1 -1 1
## 281 1 3 1 0 0 1 0 1
## 282 2 2 0 1 0 0 1 0
## 283 3 1 0 0 1 -1 -1 2
## 284 3 1 0 0 1 -1 -1 0
## 285 2 2 0 1 0 0 1 1
## 286 2 2 0 1 0 0 1 0
## 287 1 3 1 0 0 1 0 0
## 288 2 2 0 1 0 0 1 0
## 289 2 2 0 1 0 0 1 0
## 290 3 1 0 0 1 -1 -1 1
## 291 3 1 0 0 1 -1 -1 0
## 292 2 2 0 1 0 0 1 1
## 293 1 3 1 0 0 1 0 0
## 294 2 2 0 1 0 0 1 1
## 295 3 1 0 0 1 -1 -1 1
## 296 1 3 1 0 0 1 0 2
## 297 3 1 0 0 1 -1 -1 1
## 298 2 2 0 1 0 0 1 2
## 299 1 3 1 0 0 1 0 1
## 300 3 1 0 0 1 -1 -1 0
## 301 2 2 0 1 0 0 1 1
## 302 1 3 1 0 0 1 0 1
## 303 3 1 0 0 1 -1 -1 0
## 304 1 3 1 0 0 1 0 1
## 305 2 2 0 1 0 0 1 2
## 306 1 3 1 0 0 1 0 0
## 307 2 2 0 1 0 0 1 0
## 308 2 2 0 1 0 0 1 2
## 309 2 2 0 1 0 0 1 1
## 310 2 2 0 1 0 0 1 1
## 311 3 1 0 0 1 -1 -1 1
## 312 1 3 1 0 0 1 0 1
## 313 1 3 1 0 0 1 0 1
## 314 1 3 1 0 0 1 0 1
## 315 1 3 1 0 0 1 0 1
## AlcoholNumHi AlcoholNumMid regHi regMid occHi occMid Male SmokeBin
## 1 -1 -1 -1 -1 0 0 0 0
## 2 -1 -1 -1 -1 0 0 0 0
## 3 1 0 0 0 1 0 0 0
## 4 0 1 0 -1 0 -1 0 0
## 5 -1 -1 -1 -1 0 0 0 0
## 6 0 1 0 -1 0 -1 0 0
## 7 -1 -1 0 0 -1 -1 0 0
## 8 -1 -1 -1 -1 0 0 0 0
## 9 0 1 0 -1 0 -1 0 0
## 10 -1 -1 1 1 1 1 0 0
## 11 0 1 0 1 0 0 0 0
## 12 -1 -1 0 0 -1 -1 0 0
## 13 0 1 0 -1 0 -1 1 0
## 14 -1 -1 -1 -1 0 0 0 0
## 15 -1 -1 1 1 1 1 1 0
## 16 1 0 -1 0 -1 0 1 0
## 17 1 0 1 0 0 0 1 0
## 18 0 1 0 1 0 0 1 0
## 19 -1 -1 1 1 1 1 0 0
## 20 0 1 0 -1 0 -1 1 0
## 21 0 1 0 -1 0 -1 1 0
## 22 0 1 0 -1 0 -1 0 0
## 23 1 0 -1 0 -1 0 0 0
## 24 0 1 0 0 0 1 0 0
## 25 0 1 0 1 0 0 0 0
## 26 0 1 0 1 0 0 0 0
## 27 -1 -1 0 0 -1 -1 0 0
## 28 -1 -1 -1 -1 0 0 0 0
## 29 -1 -1 1 1 1 1 1 0
## 30 0 1 0 -1 0 -1 1 0
## 31 -1 -1 1 1 1 1 0 0
## 32 0 1 0 0 0 1 0 0
## 33 0 1 0 -1 0 -1 0 1
## 34 0 1 0 -1 0 -1 0 0
## 35 0 1 0 0 0 1 1 0
## 36 -1 -1 -1 -1 0 0 0 1
## 37 0 1 0 0 0 1 0 0
## 38 0 1 0 -1 0 -1 0 0
## 39 -1 -1 -1 -1 0 0 1 1
## 40 0 1 0 1 0 0 0 0
## 41 -1 -1 1 1 1 1 0 0
## 42 0 1 0 -1 0 -1 0 0
## 43 0 1 0 0 0 1 0 0
## 44 0 1 0 0 0 1 0 1
## 45 0 1 0 0 0 1 0 0
## 46 0 1 0 1 0 0 0 0
## 47 -1 -1 -1 -1 0 0 0 0
## 48 0 1 0 -1 0 -1 0 0
## 49 -1 -1 -1 -1 0 0 1 0
## 50 1 0 -1 0 -1 0 0 1
## 51 0 1 0 -1 0 -1 0 0
## 52 0 1 0 1 0 0 0 0
## 53 0 1 0 0 0 1 0 0
## 54 1 0 -1 0 -1 0 1 0
## 55 -1 -1 -1 -1 0 0 0 0
## 56 0 1 0 1 0 0 0 0
## 57 0 1 0 0 0 1 0 1
## 58 0 1 0 1 0 0 0 0
## 59 0 1 0 0 0 1 0 0
## 60 0 1 0 0 0 1 0 0
## 61 -1 -1 -1 -1 0 0 0 0
## 62 1 0 -1 0 -1 0 1 1
## 63 0 1 0 1 0 0 0 0
## 64 0 1 0 1 0 0 1 0
## 65 -1 -1 -1 -1 0 0 0 0
## 66 0 1 0 -1 0 -1 1 0
## 67 -1 -1 1 1 1 1 0 0
## 68 0 1 0 0 0 1 0 1
## 69 0 1 0 -1 0 -1 0 0
## 70 0 1 0 -1 0 -1 0 0
## 71 0 1 0 0 0 1 0 0
## 72 -1 -1 0 0 -1 -1 0 0
## 73 0 1 0 1 0 0 0 0
## 74 0 1 0 -1 0 -1 0 1
## 75 1 0 1 0 0 0 1 0
## 76 0 1 0 -1 0 -1 0 0
## 77 0 1 0 1 0 0 0 0
## 78 1 0 -1 0 -1 0 1 0
## 79 0 1 0 0 0 1 0 0
## 80 1 0 1 0 0 0 1 0
## 81 -1 -1 1 1 1 1 0 0
## 82 0 1 0 1 0 0 0 1
## 83 0 1 0 1 0 0 1 0
## 84 -1 -1 -1 -1 0 0 0 0
## 85 0 1 0 1 0 0 0 0
## 86 -1 -1 -1 -1 0 0 0 0
## 87 0 1 0 -1 0 -1 0 0
## 88 0 1 0 -1 0 -1 1 1
## 89 -1 -1 1 1 1 1 1 1
## 90 -1 -1 -1 -1 0 0 0 0
## 91 0 1 0 1 0 0 0 0
## 92 0 1 0 -1 0 -1 0 0
## 93 0 1 0 1 0 0 0 0
## 94 -1 -1 -1 -1 0 0 1 0
## 95 1 0 1 0 0 0 0 0
## 96 0 1 0 0 0 1 1 0
## 97 0 1 0 1 0 0 0 0
## 98 0 1 0 1 0 0 0 0
## 99 1 0 -1 0 -1 0 0 0
## 100 -1 -1 1 1 1 1 1 1
## 101 -1 -1 -1 -1 0 0 0 1
## 102 0 1 0 0 0 1 1 0
## 103 -1 -1 1 1 1 1 1 0
## 104 0 1 0 0 0 1 0 0
## 105 -1 -1 0 0 -1 -1 1 0
## 106 0 1 0 -1 0 -1 1 0
## 107 0 1 0 0 0 1 0 0
## 108 0 1 0 0 0 1 0 0
## 109 -1 -1 1 1 1 1 0 1
## 110 0 1 0 0 0 1 0 0
## 111 -1 -1 -1 -1 0 0 1 0
## 112 0 1 0 1 0 0 0 0
## 113 0 1 0 -1 0 -1 0 0
## 114 -1 -1 0 0 -1 -1 0 0
## 115 -1 -1 1 1 1 1 0 1
## 116 -1 -1 1 1 1 1 0 0
## 117 0 1 0 0 0 1 0 0
## 118 -1 -1 -1 -1 0 0 0 0
## 119 0 1 0 1 0 0 0 0
## 120 -1 -1 -1 -1 0 0 0 0
## 121 -1 -1 -1 -1 0 0 0 0
## 122 0 1 0 1 0 0 0 1
## 123 0 1 0 1 0 0 1 0
## 124 -1 -1 1 1 1 1 1 1
## 125 0 1 0 0 0 1 0 0
## 126 0 1 0 -1 0 -1 0 0
## 127 0 1 0 0 0 1 0 0
## 128 0 1 0 -1 0 -1 0 0
## 129 -1 -1 -1 -1 0 0 0 0
## 130 0 1 0 0 0 1 0 0
## 131 0 1 0 -1 0 -1 0 0
## 132 -1 -1 -1 -1 0 0 0 0
## 133 -1 -1 1 1 1 1 1 0
## 134 0 1 0 -1 0 -1 0 1
## 135 -1 -1 -1 -1 0 0 1 0
## 136 0 1 0 1 0 0 0 0
## 137 -1 -1 0 0 -1 -1 0 0
## 138 -1 -1 -1 -1 0 0 0 0
## 139 -1 -1 -1 -1 0 0 0 0
## 140 1 0 -1 0 -1 0 1 0
## 141 0 1 0 -1 0 -1 0 0
## 142 -1 -1 1 1 1 1 0 0
## 143 0 1 0 1 0 0 0 0
## 144 -1 -1 1 1 1 1 0 1
## 145 1 0 -1 0 -1 0 1 0
## 146 -1 -1 1 1 1 1 0 0
## 147 0 1 0 -1 0 -1 0 0
## 148 0 1 0 -1 0 -1 0 0
## 149 0 1 0 1 0 0 0 0
## 150 0 1 0 -1 0 -1 0 0
## 151 0 1 0 0 0 1 0 0
## 152 0 1 0 1 0 0 0 0
## 153 -1 -1 0 0 -1 -1 0 0
## 154 -1 -1 0 0 -1 -1 0 0
## 155 0 1 0 0 0 1 0 0
## 156 -1 -1 1 1 1 1 1 0
## 157 -1 -1 -1 -1 0 0 0 0
## 158 -1 -1 -1 -1 0 0 0 0
## 159 -1 -1 -1 -1 0 0 0 0
## 160 -1 -1 1 1 1 1 0 0
## 161 0 1 0 1 0 0 0 0
## 162 1 0 0 0 1 0 0 0
## 163 -1 -1 -1 -1 0 0 0 0
## 164 0 1 0 1 0 0 0 0
## 165 0 1 0 1 0 0 0 0
## 166 0 1 0 1 0 0 0 0
## 167 0 1 0 0 0 1 0 1
## 168 0 1 0 1 0 0 0 0
## 169 0 1 0 -1 0 -1 0 0
## 170 0 1 0 -1 0 -1 0 0
## 171 0 1 0 -1 0 -1 0 0
## 172 -1 -1 0 0 -1 -1 0 0
## 173 0 1 0 1 0 0 0 0
## 174 1 0 -1 0 -1 0 0 0
## 175 0 1 0 -1 0 -1 0 0
## 176 0 1 0 1 0 0 0 0
## 177 0 1 0 -1 0 -1 1 0
## 178 0 1 0 1 0 0 0 0
## 179 0 1 0 1 0 0 0 0
## 180 -1 -1 1 1 1 1 0 1
## 181 0 1 0 0 0 1 0 1
## 182 -1 -1 -1 -1 0 0 0 0
## 183 0 1 0 0 0 1 0 0
## 184 0 1 0 -1 0 -1 0 0
## 185 -1 -1 -1 -1 0 0 0 0
## 186 -1 -1 0 0 -1 -1 0 1
## 187 -1 -1 -1 -1 0 0 0 0
## 188 0 1 0 1 0 0 0 0
## 189 0 1 0 0 0 1 0 0
## 190 -1 -1 0 0 -1 -1 0 0
## 191 -1 -1 0 0 -1 -1 0 0
## 192 0 1 0 -1 0 -1 0 0
## 193 0 1 0 -1 0 -1 0 0
## 194 0 1 0 1 0 0 0 0
## 195 0 1 0 -1 0 -1 0 1
## 196 0 1 0 1 0 0 0 0
## 197 0 1 0 -1 0 -1 0 0
## 198 0 1 0 1 0 0 0 0
## 199 0 1 0 0 0 1 0 0
## 200 -1 -1 -1 -1 0 0 0 0
## 201 1 0 0 0 1 0 0 0
## 202 0 1 0 1 0 0 0 1
## 203 -1 -1 0 0 -1 -1 0 0
## 204 -1 -1 0 0 -1 -1 0 0
## 205 -1 -1 -1 -1 0 0 0 0
## 206 0 1 0 0 0 1 0 0
## 207 -1 -1 0 0 -1 -1 0 0
## 208 1 0 1 0 0 0 0 0
## 209 0 1 0 1 0 0 0 0
## 210 -1 -1 -1 -1 0 0 0 0
## 211 0 1 0 1 0 0 0 0
## 212 0 1 0 0 0 1 0 0
## 213 -1 -1 -1 -1 0 0 0 0
## 214 0 1 0 1 0 0 0 0
## 215 -1 -1 -1 -1 0 0 0 1
## 216 -1 -1 -1 -1 0 0 0 0
## 217 0 1 0 0 0 1 0 1
## 218 0 1 0 -1 0 -1 0 0
## 219 0 1 0 1 0 0 0 0
## 220 -1 -1 1 1 1 1 0 1
## 221 0 1 0 1 0 0 0 0
## 222 -1 -1 -1 -1 0 0 0 1
## 223 -1 -1 1 1 1 1 0 0
## 224 0 1 0 1 0 0 0 0
## 225 0 1 0 -1 0 -1 0 0
## 226 -1 -1 1 1 1 1 0 0
## 227 0 1 0 -1 0 -1 0 1
## 228 0 1 0 1 0 0 0 0
## 229 0 1 0 -1 0 -1 0 0
## 230 -1 -1 1 1 1 1 0 0
## 231 -1 -1 -1 -1 0 0 0 0
## 232 -1 -1 1 1 1 1 0 0
## 233 -1 -1 0 0 -1 -1 0 0
## 234 -1 -1 -1 -1 0 0 0 0
## 235 0 1 0 0 0 1 0 0
## 236 -1 -1 -1 -1 0 0 0 0
## 237 0 1 0 -1 0 -1 1 0
## 238 0 1 0 -1 0 -1 0 0
## 239 -1 -1 1 1 1 1 0 1
## 240 0 1 0 0 0 1 0 0
## 241 0 1 0 0 0 1 0 0
## 242 0 1 0 1 0 0 0 0
## 243 0 1 0 -1 0 -1 0 0
## 244 -1 -1 0 0 -1 -1 0 1
## 245 -1 -1 1 1 1 1 1 0
## 246 -1 -1 -1 -1 0 0 0 0
## 247 -1 -1 -1 -1 0 0 0 0
## 248 0 1 0 0 0 1 0 0
## 249 0 1 0 0 0 1 0 0
## 250 0 1 0 -1 0 -1 0 0
## 251 1 0 -1 0 -1 0 0 0
## 252 0 1 0 -1 0 -1 0 0
## 253 0 1 0 -1 0 -1 0 0
## 254 -1 -1 0 0 -1 -1 0 0
## 255 0 1 0 1 0 0 0 0
## 256 1 0 0 0 1 0 0 0
## 257 -1 -1 -1 -1 0 0 0 0
## 258 0 1 0 1 0 0 0 0
## 259 0 1 0 -1 0 -1 0 0
## 260 0 1 0 1 0 0 0 0
## 261 0 1 0 -1 0 -1 0 0
## 262 0 1 0 0 0 1 0 0
## 263 0 1 0 1 0 0 0 0
## 264 -1 -1 0 0 -1 -1 0 0
## 265 0 1 0 0 0 1 0 0
## 266 0 1 0 -1 0 -1 0 0
## 267 0 1 0 1 0 0 0 0
## 268 -1 -1 1 1 1 1 0 0
## 269 0 1 0 0 0 1 0 0
## 270 0 1 0 1 0 0 0 0
## 271 -1 -1 -1 -1 0 0 0 0
## 272 0 1 0 -1 0 -1 0 1
## 273 1 0 -1 0 -1 0 0 0
## 274 0 1 0 -1 0 -1 0 1
## 275 0 1 0 1 0 0 0 0
## 276 -1 -1 0 0 -1 -1 1 0
## 277 0 1 0 -1 0 -1 0 0
## 278 0 1 0 -1 0 -1 0 0
## 279 0 1 0 0 0 1 0 0
## 280 0 1 0 -1 0 -1 0 1
## 281 0 1 0 1 0 0 0 0
## 282 -1 -1 0 0 -1 -1 0 1
## 283 1 0 -1 0 -1 0 0 0
## 284 -1 -1 1 1 1 1 0 0
## 285 0 1 0 0 0 1 0 0
## 286 -1 -1 0 0 -1 -1 0 0
## 287 -1 -1 -1 -1 0 0 0 0
## 288 -1 -1 0 0 -1 -1 0 0
## 289 -1 -1 0 0 -1 -1 0 1
## 290 0 1 0 -1 0 -1 0 1
## 291 -1 -1 1 1 1 1 0 0
## 292 0 1 0 0 0 1 0 0
## 293 -1 -1 -1 -1 0 0 0 0
## 294 0 1 0 0 0 1 0 0
## 295 0 1 0 -1 0 -1 0 0
## 296 1 0 1 0 0 0 1 1
## 297 0 1 0 -1 0 -1 0 0
## 298 1 0 0 0 1 0 0 0
## 299 0 1 0 1 0 0 0 0
## 300 -1 -1 1 1 1 1 0 0
## 301 0 1 0 0 0 1 0 0
## 302 0 1 0 1 0 0 0 1
## 303 -1 -1 1 1 1 1 0 0
## 304 0 1 0 1 0 0 0 0
## 305 1 0 0 0 1 0 0 1
## 306 -1 -1 -1 -1 0 0 0 0
## 307 -1 -1 0 0 -1 -1 0 0
## 308 1 0 0 0 1 0 0 1
## 309 0 1 0 0 0 1 0 0
## 310 0 1 0 0 0 1 0 0
## 311 0 1 0 -1 0 -1 0 0
## 312 0 1 0 1 0 0 0 0
## 313 0 1 0 1 0 0 0 0
## 314 0 1 0 1 0 0 0 0
## 315 0 1 0 1 0 0 0 0redModel2=lm(mydata$Cholesterol~mydata$SmokeBin+mydata$Male)
fullModel2=lm(mydata$Cholesterol~mydata$regHi+mydata$regMid+mydata$occHi+mydata$occMid+mydata$AlcoholNumMid+mydata$AlcoholNumHi+mydata$vitReg1+mydata$vitOcc1+mydata$SmokeBin+mydata$Male)
redModel2##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$SmokeBin + mydata$Male)
##
## Coefficients:
## (Intercept) mydata$SmokeBin mydata$Male
## 225.13 31.49 97.75summary(redModel2)##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$SmokeBin + mydata$Male)
##
## Residuals:
## Min 1Q Median 3Q Max
## -245.38 -84.83 -31.73 58.87 675.57
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 225.129 8.201 27.453 < 0.0000000000000002
## mydata$SmokeBin 31.491 20.949 1.503 0.134
## mydata$Male 97.746 21.158 4.620 0.00000563
##
## Residual standard error: 127.6 on 312 degrees of freedom
## Multiple R-squared: 0.07173, Adjusted R-squared: 0.06578
## F-statistic: 12.05 on 2 and 312 DF, p-value: 0.00000906anova(redModel2)## Analysis of Variance Table
##
## Response: mydata$Cholesterol
## Df Sum Sq Mean Sq F value Pr(>F)
## mydata$SmokeBin 1 45033 45033 2.7669 0.09724
## mydata$Male 1 347365 347365 21.3424 0.000005626
## Residuals 312 5078043 16276anova(fullModel2,fullModel)## Analysis of Variance Table
##
## Model 1: mydata$Cholesterol ~ mydata$regHi + mydata$regMid + mydata$occHi +
## mydata$occMid + mydata$AlcoholNumMid + mydata$AlcoholNumHi +
## mydata$vitReg1 + mydata$vitOcc1 + mydata$SmokeBin + mydata$Male
## Model 2: mydata$Cholesterol ~ mydata$regHi + mydata$regMid + mydata$occHi +
## mydata$occMid + mydata$AlcoholNumMid + mydata$AlcoholNumHi +
## mydata$vitReg1 + mydata$vitOcc1
## Res.Df RSS Df Sum of Sq F Pr(>F)
## 1 304 5017925
## 2 306 5342216 -2 -324291 9.8232 0.00007345smokeModel=lm(mydata$Cholesterol~mydata$SmokeBin)
summary(smokeModel)##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$SmokeBin)
##
## Residuals:
## Min 1Q Median 3Q Max
## -200.01 -89.22 -35.51 66.18 662.99
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 237.707 7.983 29.777 <0.0000000000000002
## mydata$SmokeBin 34.826 21.606 1.612 0.108
##
## Residual standard error: 131.7 on 313 degrees of freedom
## Multiple R-squared: 0.008232, Adjusted R-squared: 0.005064
## F-statistic: 2.598 on 1 and 313 DF, p-value: 0.108anova(smokeModel)## Analysis of Variance Table
##
## Response: mydata$Cholesterol
## Df Sum Sq Mean Sq F value Pr(>F)
## mydata$SmokeBin 1 45033 45033 2.598 0.108
## Residuals 313 5425408 17334genderModel=lm(mydata$Cholesterol~mydata$Male)
summary(genderModel)##
## Call:
## lm(formula = mydata$Cholesterol ~ mydata$Male)
##
## Residuals:
## Min 1Q Median 3Q Max
## -250.62 -85.65 -33.48 54.72 671.42
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 229.282 7.737 29.635 < 0.0000000000000002
## mydata$Male 98.842 21.188 4.665 0.00000458
##
## Residual standard error: 127.8 on 313 degrees of freedom
## Multiple R-squared: 0.06501, Adjusted R-squared: 0.06202
## F-statistic: 21.76 on 1 and 313 DF, p-value: 0.00000458anova(genderModel)## Analysis of Variance Table
##
## Response: mydata$Cholesterol
## Df Sum Sq Mean Sq F value Pr(>F)
## mydata$Male 1 355619 355619 21.762 0.00000458
## Residuals 313 5114821 16341anova(redModel2,smokeModel)## Analysis of Variance Table
##
## Model 1: mydata$Cholesterol ~ mydata$SmokeBin + mydata$Male
## Model 2: mydata$Cholesterol ~ mydata$SmokeBin
## Res.Df RSS Df Sum of Sq F Pr(>F)
## 1 312 5078043
## 2 313 5425408 -1 -347365 21.342 0.000005626anova(redModel2,genderModel)## Analysis of Variance Table
##
## Model 1: mydata$Cholesterol ~ mydata$SmokeBin + mydata$Male
## Model 2: mydata$Cholesterol ~ mydata$Male
## Res.Df RSS Df Sum of Sq F Pr(>F)
## 1 312 5078043
## 2 313 5114821 -1 -36779 2.2597 0.1338ANOVA(Cholesterol~SmokeBin, data=mydata)
## BACKGROUND
##
## Response Variable: Cholesterol
##
## Factor Variable: SmokeBin
## Levels: 0 1
##
## Number of cases (rows) of data: 315
## Number of cases retained for analysis: 315
##
##
## DESCRIPTIVE STATISTICS
##
## n mean sd min max
## 0 272 237.71 129.31 37.70 900.70
## 1 43 272.53 145.92 78.30 718.80
##
## Grand Mean: 242.461
##
##
## BASIC ANALYSIS
##
## df Sum Sq Mean Sq F-value p-value
## SmokeBin 1 45033.17 45033.17 2.60 0.1080
## Residuals 313 5425407.68 17333.57
##
##
## R Squared: 0.01
## R Sq Adjusted: 0.01
## Omega Squared: 0.01
##
## Cohen's f: 0.07
##
##
## TUKEY MULTIPLE COMPARISONS OF MEANS
##
## Family-wise Confidence Level:
## -----------------------------
## diff lwr upr p adj
## 1-0 34.83 -7.69 77.34 0.11
##
##
## RESIDUALS
##
## Fitted Values, Residuals, Standardized Residuals
## [sorted by Standardized Residuals, ignoring + or - sign]
## [res_rows = 20, out of 315 cases (rows) of data, or res_rows="all"]
## --------------------------------------------------
## SmokeBin Cholesterol fitted residual z-resid
## 257 0 900.70 237.71 662.99 5.05
## 152 0 814.70 237.71 576.99 4.39
## 94 0 747.50 237.71 509.79 3.88
## 112 0 689.40 237.71 451.69 3.44
## 144 1 718.80 272.53 446.27 3.43
## 276 0 574.20 237.71 336.49 2.56
## 62 1 603.00 272.53 330.47 2.54
## 188 0 549.10 237.71 311.39 2.37
## 100 1 550.50 272.53 277.97 2.14
## 184 0 518.00 237.71 280.29 2.13
## 19 0 512.30 237.71 274.59 2.09
## 58 0 511.60 237.71 273.89 2.08
## 103 0 500.30 237.71 262.59 2.00
## 292 0 487.80 237.71 250.09 1.90
## 124 1 516.50 272.53 243.97 1.87
## 253 0 469.30 237.71 231.59 1.76
## 95 0 469.20 237.71 231.49 1.76
## 266 0 466.30 237.71 228.59 1.74
## 171 0 456.90 237.71 219.19 1.67
## 75 0 452.80 237.71 215.09 1.64
##
##
## ----------------------------------------
## Plot 1: Scatterplot with Cell Means
## Plot 2: 95% family-wise confidence level
## ----------------------------------------